Overview

Dataset statistics

Number of variables287
Number of observations7500
Missing cells649
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory117.3 MiB
Average record size in memory16.0 KiB

Variable types

Categorical281
Numeric6

Alerts

Año has constant value "2020" Constant
ENTIDAD has constant value "26" Constant
NOM_ENT has constant value "Sonora" Constant
NOM_MUN has a high cardinality: 73 distinct values High cardinality
NOM_LOC has a high cardinality: 5710 distinct values High cardinality
LONGITUD has a high cardinality: 7288 distinct values High cardinality
LATITUD has a high cardinality: 7293 distinct values High cardinality
POBFEM has a high cardinality: 488 distinct values High cardinality
POBMAS has a high cardinality: 530 distinct values High cardinality
P_0A2 has a high cardinality: 196 distinct values High cardinality
P_0A2_F has a high cardinality: 145 distinct values High cardinality
P_0A2_M has a high cardinality: 153 distinct values High cardinality
P_3YMAS has a high cardinality: 665 distinct values High cardinality
P_3YMAS_F has a high cardinality: 493 distinct values High cardinality
P_3YMAS_M has a high cardinality: 506 distinct values High cardinality
P_5YMAS has a high cardinality: 648 distinct values High cardinality
P_5YMAS_F has a high cardinality: 490 distinct values High cardinality
P_5YMAS_M has a high cardinality: 511 distinct values High cardinality
P_12YMAS has a high cardinality: 626 distinct values High cardinality
P_12YMAS_F has a high cardinality: 476 distinct values High cardinality
P_12YMAS_M has a high cardinality: 485 distinct values High cardinality
P_15YMAS has a high cardinality: 610 distinct values High cardinality
P_15YMAS_F has a high cardinality: 448 distinct values High cardinality
P_15YMAS_M has a high cardinality: 480 distinct values High cardinality
P_18YMAS has a high cardinality: 586 distinct values High cardinality
P_18YMAS_F has a high cardinality: 438 distinct values High cardinality
P_18YMAS_M has a high cardinality: 460 distinct values High cardinality
P_3A5 has a high cardinality: 197 distinct values High cardinality
P_3A5_F has a high cardinality: 155 distinct values High cardinality
P_3A5_M has a high cardinality: 156 distinct values High cardinality
P_6A11 has a high cardinality: 269 distinct values High cardinality
P_6A11_F has a high cardinality: 199 distinct values High cardinality
P_6A11_M has a high cardinality: 202 distinct values High cardinality
P_8A14 has a high cardinality: 296 distinct values High cardinality
P_8A14_F has a high cardinality: 213 distinct values High cardinality
P_8A14_M has a high cardinality: 215 distinct values High cardinality
P_12A14 has a high cardinality: 209 distinct values High cardinality
P_12A14_F has a high cardinality: 156 distinct values High cardinality
P_12A14_M has a high cardinality: 158 distinct values High cardinality
P_15A17 has a high cardinality: 204 distinct values High cardinality
P_15A17_F has a high cardinality: 154 distinct values High cardinality
P_15A17_M has a high cardinality: 155 distinct values High cardinality
P_18A24 has a high cardinality: 280 distinct values High cardinality
P_18A24_F has a high cardinality: 201 distinct values High cardinality
P_18A24_M has a high cardinality: 210 distinct values High cardinality
P_15A49_F has a high cardinality: 374 distinct values High cardinality
P_60YMAS has a high cardinality: 324 distinct values High cardinality
P_60YMAS_F has a high cardinality: 245 distinct values High cardinality
P_60YMAS_M has a high cardinality: 246 distinct values High cardinality
REL_H_M has a high cardinality: 947 distinct values High cardinality
POB0_14 has a high cardinality: 393 distinct values High cardinality
POB15_64 has a high cardinality: 573 distinct values High cardinality
POB65_MAS has a high cardinality: 277 distinct values High cardinality
P_0A4 has a high cardinality: 236 distinct values High cardinality
P_0A4_F has a high cardinality: 182 distinct values High cardinality
P_0A4_M has a high cardinality: 183 distinct values High cardinality
P_5A9 has a high cardinality: 245 distinct values High cardinality
P_5A9_F has a high cardinality: 188 distinct values High cardinality
P_5A9_M has a high cardinality: 189 distinct values High cardinality
P_10A14 has a high cardinality: 256 distinct values High cardinality
P_10A14_F has a high cardinality: 194 distinct values High cardinality
P_10A14_M has a high cardinality: 194 distinct values High cardinality
P_15A19 has a high cardinality: 249 distinct values High cardinality
P_15A19_F has a high cardinality: 183 distinct values High cardinality
P_15A19_M has a high cardinality: 194 distinct values High cardinality
P_20A24 has a high cardinality: 233 distinct values High cardinality
P_20A24_F has a high cardinality: 169 distinct values High cardinality
P_20A24_M has a high cardinality: 184 distinct values High cardinality
P_25A29 has a high cardinality: 225 distinct values High cardinality
P_25A29_F has a high cardinality: 169 distinct values High cardinality
P_25A29_M has a high cardinality: 178 distinct values High cardinality
P_30A34 has a high cardinality: 223 distinct values High cardinality
P_30A34_F has a high cardinality: 164 distinct values High cardinality
P_30A34_M has a high cardinality: 173 distinct values High cardinality
P_35A39 has a high cardinality: 218 distinct values High cardinality
P_35A39_F has a high cardinality: 164 distinct values High cardinality
P_35A39_M has a high cardinality: 176 distinct values High cardinality
P_40A44 has a high cardinality: 224 distinct values High cardinality
P_40A44_F has a high cardinality: 165 distinct values High cardinality
P_40A44_M has a high cardinality: 178 distinct values High cardinality
P_45A49 has a high cardinality: 225 distinct values High cardinality
P_45A49_F has a high cardinality: 163 distinct values High cardinality
P_45A49_M has a high cardinality: 176 distinct values High cardinality
P_50A54 has a high cardinality: 217 distinct values High cardinality
P_50A54_F has a high cardinality: 167 distinct values High cardinality
P_50A54_M has a high cardinality: 168 distinct values High cardinality
P_55A59 has a high cardinality: 201 distinct values High cardinality
P_55A59_F has a high cardinality: 158 distinct values High cardinality
P_55A59_M has a high cardinality: 160 distinct values High cardinality
P_60A64 has a high cardinality: 198 distinct values High cardinality
P_60A64_F has a high cardinality: 147 distinct values High cardinality
P_60A64_M has a high cardinality: 152 distinct values High cardinality
P_65A69 has a high cardinality: 181 distinct values High cardinality
P_65A69_F has a high cardinality: 136 distinct values High cardinality
P_65A69_M has a high cardinality: 140 distinct values High cardinality
P_70A74 has a high cardinality: 167 distinct values High cardinality
P_70A74_F has a high cardinality: 121 distinct values High cardinality
P_70A74_M has a high cardinality: 124 distinct values High cardinality
P_75A79 has a high cardinality: 140 distinct values High cardinality
P_75A79_F has a high cardinality: 106 distinct values High cardinality
P_75A79_M has a high cardinality: 109 distinct values High cardinality
P_80A84 has a high cardinality: 121 distinct values High cardinality
P_80A84_F has a high cardinality: 89 distinct values High cardinality
P_80A84_M has a high cardinality: 93 distinct values High cardinality
P_85YMAS has a high cardinality: 106 distinct values High cardinality
P_85YMAS_F has a high cardinality: 81 distinct values High cardinality
P_85YMAS_M has a high cardinality: 79 distinct values High cardinality
PROM_HNV has a high cardinality: 291 distinct values High cardinality
PNACENT has a high cardinality: 643 distinct values High cardinality
PNACENT_F has a high cardinality: 491 distinct values High cardinality
PNACENT_M has a high cardinality: 497 distinct values High cardinality
PNACOE has a high cardinality: 254 distinct values High cardinality
PNACOE_F has a high cardinality: 195 distinct values High cardinality
PNACOE_M has a high cardinality: 204 distinct values High cardinality
PRES2015 has a high cardinality: 652 distinct values High cardinality
PRES2015_F has a high cardinality: 495 distinct values High cardinality
PRES2015_M has a high cardinality: 513 distinct values High cardinality
PRESOE15 has a high cardinality: 143 distinct values High cardinality
PRESOE15_F has a high cardinality: 108 distinct values High cardinality
PRESOE15_M has a high cardinality: 125 distinct values High cardinality
P3YM_HLI has a high cardinality: 224 distinct values High cardinality
P3YM_HLI_F has a high cardinality: 155 distinct values High cardinality
P3YM_HLI_M has a high cardinality: 171 distinct values High cardinality
P3HLI_HE has a high cardinality: 215 distinct values High cardinality
P3HLI_HE_F has a high cardinality: 153 distinct values High cardinality
P3HLI_HE_M has a high cardinality: 165 distinct values High cardinality
P5_HLI has a high cardinality: 219 distinct values High cardinality
P5_HLI_HE has a high cardinality: 216 distinct values High cardinality
PHOG_IND has a high cardinality: 283 distinct values High cardinality
POB_AFRO has a high cardinality: 114 distinct values High cardinality
POB_AFRO_F has a high cardinality: 89 distinct values High cardinality
POB_AFRO_M has a high cardinality: 92 distinct values High cardinality
PCON_DISC has a high cardinality: 226 distinct values High cardinality
PCDISC_MOT has a high cardinality: 160 distinct values High cardinality
PCDISC_VIS has a high cardinality: 161 distinct values High cardinality
PCDISC_LENG has a high cardinality: 102 distinct values High cardinality
PCDISC_AUD has a high cardinality: 118 distinct values High cardinality
PCDISC_MOT2 has a high cardinality: 121 distinct values High cardinality
PCDISC_MEN has a high cardinality: 115 distinct values High cardinality
PCON_LIMI has a high cardinality: 311 distinct values High cardinality
PCLIM_CSB has a high cardinality: 192 distinct values High cardinality
PCLIM_VIS has a high cardinality: 264 distinct values High cardinality
PCLIM_HACO has a high cardinality: 94 distinct values High cardinality
PCLIM_OAUD has a high cardinality: 156 distinct values High cardinality
PCLIM_MOT2 has a high cardinality: 88 distinct values High cardinality
PCLIM_RE_CO has a high cardinality: 160 distinct values High cardinality
PCLIM_PMEN has a high cardinality: 122 distinct values High cardinality
PSIND_LIM has a high cardinality: 628 distinct values High cardinality
P3A5_NOA has a high cardinality: 145 distinct values High cardinality
P3A5_NOA_F has a high cardinality: 114 distinct values High cardinality
P3A5_NOA_M has a high cardinality: 110 distinct values High cardinality
P6A11_NOA has a high cardinality: 83 distinct values High cardinality
P6A11_NOAF has a high cardinality: 59 distinct values High cardinality
P6A11_NOAM has a high cardinality: 67 distinct values High cardinality
P12A14NOA has a high cardinality: 85 distinct values High cardinality
P12A14NOAF has a high cardinality: 65 distinct values High cardinality
P12A14NOAM has a high cardinality: 71 distinct values High cardinality
P15A17A has a high cardinality: 180 distinct values High cardinality
P15A17A_F has a high cardinality: 136 distinct values High cardinality
P15A17A_M has a high cardinality: 140 distinct values High cardinality
P18A24A has a high cardinality: 149 distinct values High cardinality
P18A24A_F has a high cardinality: 126 distinct values High cardinality
P18A24A_M has a high cardinality: 123 distinct values High cardinality
P8A14AN has a high cardinality: 76 distinct values High cardinality
P8A14AN_F has a high cardinality: 55 distinct values High cardinality
P8A14AN_M has a high cardinality: 67 distinct values High cardinality
P15YM_AN has a high cardinality: 153 distinct values High cardinality
P15YM_AN_F has a high cardinality: 115 distinct values High cardinality
P15YM_AN_M has a high cardinality: 123 distinct values High cardinality
P15YM_SE has a high cardinality: 162 distinct values High cardinality
P15YM_SE_F has a high cardinality: 122 distinct values High cardinality
P15YM_SE_M has a high cardinality: 130 distinct values High cardinality
P15PRI_IN has a high cardinality: 266 distinct values High cardinality
P15PRI_INF has a high cardinality: 187 distinct values High cardinality
P15PRI_INM has a high cardinality: 209 distinct values High cardinality
P15PRI_CO has a high cardinality: 287 distinct values High cardinality
P15PRI_COF has a high cardinality: 210 distinct values High cardinality
P15PRI_COM has a high cardinality: 222 distinct values High cardinality
P15SEC_IN has a high cardinality: 172 distinct values High cardinality
P15SEC_INF has a high cardinality: 124 distinct values High cardinality
P15SEC_INM has a high cardinality: 145 distinct values High cardinality
P15SEC_CO has a high cardinality: 383 distinct values High cardinality
P15SEC_COF has a high cardinality: 281 distinct values High cardinality
P15SEC_COM has a high cardinality: 293 distinct values High cardinality
P18YM_PB has a high cardinality: 343 distinct values High cardinality
P18YM_PB_F has a high cardinality: 265 distinct values High cardinality
P18YM_PB_M has a high cardinality: 263 distinct values High cardinality
GRAPROES has a high cardinality: 645 distinct values High cardinality
GRAPROES_F has a high cardinality: 585 distinct values High cardinality
GRAPROES_M has a high cardinality: 598 distinct values High cardinality
PEA has a high cardinality: 495 distinct values High cardinality
PEA_F has a high cardinality: 314 distinct values High cardinality
PEA_M has a high cardinality: 422 distinct values High cardinality
PE_INAC has a high cardinality: 438 distinct values High cardinality
PE_INAC_F has a high cardinality: 375 distinct values High cardinality
PE_INAC_M has a high cardinality: 282 distinct values High cardinality
POCUPADA has a high cardinality: 497 distinct values High cardinality
POCUPADA_F has a high cardinality: 311 distinct values High cardinality
POCUPADA_M has a high cardinality: 419 distinct values High cardinality
PDESOCUP has a high cardinality: 119 distinct values High cardinality
PDESOCUP_F has a high cardinality: 66 distinct values High cardinality
PDESOCUP_M has a high cardinality: 111 distinct values High cardinality
PSINDER has a high cardinality: 356 distinct values High cardinality
PDER_SS has a high cardinality: 619 distinct values High cardinality
PDER_IMSS has a high cardinality: 453 distinct values High cardinality
PDER_ISTE has a high cardinality: 179 distinct values High cardinality
PDER_ISTEE has a high cardinality: 179 distinct values High cardinality
PAFIL_PDOM has a high cardinality: 54 distinct values High cardinality
PDER_SEGP has a high cardinality: 450 distinct values High cardinality
PDER_IMSSB has a high cardinality: 82 distinct values High cardinality
PAFIL_IPRIV has a high cardinality: 105 distinct values High cardinality
PAFIL_OTRAI has a high cardinality: 94 distinct values High cardinality
P12YM_SOLT has a high cardinality: 392 distinct values High cardinality
P12YM_CASA has a high cardinality: 504 distinct values High cardinality
P12YM_SEPA has a high cardinality: 272 distinct values High cardinality
PCATOLICA has a high cardinality: 626 distinct values High cardinality
PRO_CRIEVA has a high cardinality: 260 distinct values High cardinality
PSIN_RELIG has a high cardinality: 254 distinct values High cardinality
TOTHOG has a high cardinality: 412 distinct values High cardinality
HOGJEF_F has a high cardinality: 246 distinct values High cardinality
HOGJEF_M has a high cardinality: 366 distinct values High cardinality
POBHOG has a high cardinality: 680 distinct values High cardinality
PHOGJEF_F has a high cardinality: 405 distinct values High cardinality
PHOGJEF_M has a high cardinality: 598 distinct values High cardinality
TVIVPAR has a high cardinality: 479 distinct values High cardinality
VIVPAR_HAB has a high cardinality: 405 distinct values High cardinality
VIVPARH_CV has a high cardinality: 405 distinct values High cardinality
TVIVPARHAB has a high cardinality: 412 distinct values High cardinality
VIVPAR_DES has a high cardinality: 223 distinct values High cardinality
VIVPAR_UT has a high cardinality: 220 distinct values High cardinality
OCUPVIVPAR has a high cardinality: 680 distinct values High cardinality
PROM_OCUP has a high cardinality: 328 distinct values High cardinality
PRO_OCUP_C has a high cardinality: 223 distinct values High cardinality
VPH_PISODT has a high cardinality: 397 distinct values High cardinality
VPH_PISOTI has a high cardinality: 116 distinct values High cardinality
VPH_1DOR has a high cardinality: 265 distinct values High cardinality
VPH_2YMASD has a high cardinality: 339 distinct values High cardinality
VPH_1CUART has a high cardinality: 147 distinct values High cardinality
VPH_2CUART has a high cardinality: 197 distinct values High cardinality
VPH_3YMASC has a high cardinality: 352 distinct values High cardinality
VPH_C_ELEC has a high cardinality: 408 distinct values High cardinality
VPH_S_ELEC has a high cardinality: 91 distinct values High cardinality
VPH_AGUADV has a high cardinality: 398 distinct values High cardinality
VPH_AEASP has a high cardinality: 365 distinct values High cardinality
VPH_AGUAFV has a high cardinality: 95 distinct values High cardinality
VPH_TINACO has a high cardinality: 265 distinct values High cardinality
VPH_CISTER has a high cardinality: 127 distinct values High cardinality
VPH_EXCSA has a high cardinality: 349 distinct values High cardinality
VPH_LETR has a high cardinality: 198 distinct values High cardinality
VPH_DRENAJ has a high cardinality: 360 distinct values High cardinality
VPH_NODREN has a high cardinality: 194 distinct values High cardinality
VPH_C_SERV has a high cardinality: 363 distinct values High cardinality
VPH_NDEAED has a high cardinality: 53 distinct values High cardinality
VPH_DSADMA has a high cardinality: 350 distinct values High cardinality
VPH_NDACMM has a high cardinality: 283 distinct values High cardinality
VPH_SNBIEN has a high cardinality: 80 distinct values High cardinality
VPH_REFRI has a high cardinality: 390 distinct values High cardinality
VPH_LAVAD has a high cardinality: 337 distinct values High cardinality
VPH_HMICRO has a high cardinality: 291 distinct values High cardinality
VPH_AUTOM has a high cardinality: 308 distinct values High cardinality
VPH_MOTO has a high cardinality: 176 distinct values High cardinality
VPH_BICI has a high cardinality: 231 distinct values High cardinality
VPH_RADIO has a high cardinality: 315 distinct values High cardinality
VPH_TV has a high cardinality: 396 distinct values High cardinality
VPH_PC has a high cardinality: 208 distinct values High cardinality
VPH_TELEF has a high cardinality: 181 distinct values High cardinality
VPH_CEL has a high cardinality: 383 distinct values High cardinality
VPH_INTER has a high cardinality: 240 distinct values High cardinality
VPH_STVP has a high cardinality: 317 distinct values High cardinality
VPH_SPMVPI has a high cardinality: 139 distinct values High cardinality
VPH_CVJ has a high cardinality: 124 distinct values High cardinality
VPH_SINRTV has a high cardinality: 134 distinct values High cardinality
VPH_SINLTC has a high cardinality: 174 distinct values High cardinality
VPH_SINCINT has a high cardinality: 348 distinct values High cardinality
VPH_SINTIC has a high cardinality: 98 distinct values High cardinality
POBTOT is highly correlated with VIVTOT and 1 other fieldsHigh correlation
VIVTOT is highly correlated with POBTOT and 1 other fieldsHigh correlation
TVIVHAB is highly correlated with POBTOT and 1 other fieldsHigh correlation
POBTOT is highly correlated with VIVTOT and 1 other fieldsHigh correlation
VIVTOT is highly correlated with POBTOT and 1 other fieldsHigh correlation
TVIVHAB is highly correlated with POBTOT and 1 other fieldsHigh correlation
POBTOT is highly correlated with VIVTOT and 1 other fieldsHigh correlation
VIVTOT is highly correlated with POBTOT and 1 other fieldsHigh correlation
TVIVHAB is highly correlated with POBTOT and 1 other fieldsHigh correlation
P8A14AN is highly correlated with VPH_SINTIC and 33 other fieldsHigh correlation
VPH_SINTIC is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P6A11_NOAF is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P_85YMAS_M is highly correlated with P8A14AN and 33 other fieldsHigh correlation
ENTIDAD is highly correlated with P8A14AN and 34 other fieldsHigh correlation
TAMLOC is highly correlated with P8A14AN and 29 other fieldsHigh correlation
PDER_IMSSB is highly correlated with P8A14AN and 33 other fieldsHigh correlation
Año is highly correlated with P8A14AN and 34 other fieldsHigh correlation
PAFIL_OTRAI is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P3HLINHE_F is highly correlated with P8A14AN and 32 other fieldsHigh correlation
POB_AFRO_F is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P_80A84_M is highly correlated with P8A14AN and 33 other fieldsHigh correlation
VPH_NDEAED is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P12A14NOAM is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P5_HLI_NHE is highly correlated with P8A14AN and 32 other fieldsHigh correlation
POB_AFRO_M is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P_85YMAS_F is highly correlated with P8A14AN and 33 other fieldsHigh correlation
NOM_MUN is highly correlated with ENTIDAD and 2 other fieldsHigh correlation
PAFIL_PDOM is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P3HLINHE is highly correlated with P8A14AN and 32 other fieldsHigh correlation
P6A11_NOAM is highly correlated with P8A14AN and 33 other fieldsHigh correlation
POTRAS_REL is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P8A14AN_M is highly correlated with P8A14AN and 33 other fieldsHigh correlation
PDESOCUP_F is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P3HLINHE_M is highly correlated with P8A14AN and 32 other fieldsHigh correlation
PCLIM_HACO is highly correlated with P8A14AN and 33 other fieldsHigh correlation
VPH_SNBIEN is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P6A11_NOA is highly correlated with P8A14AN and 33 other fieldsHigh correlation
VPH_S_ELEC is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P12A14NOA is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P12A14NOAF is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P_80A84_F is highly correlated with P8A14AN and 33 other fieldsHigh correlation
VPH_AGUAFV is highly correlated with P8A14AN and 33 other fieldsHigh correlation
P8A14AN_F is highly correlated with P8A14AN and 33 other fieldsHigh correlation
PCLIM_MOT2 is highly correlated with P8A14AN and 33 other fieldsHigh correlation
NOM_ENT is highly correlated with P8A14AN and 34 other fieldsHigh correlation
MUN is highly correlated with NOM_MUN and 1 other fieldsHigh correlation
NOM_MUN is highly correlated with MUN and 36 other fieldsHigh correlation
LOC is highly correlated with NOM_MUN and 1 other fieldsHigh correlation
ALTITUD is highly correlated with MUN and 1 other fieldsHigh correlation
POBTOT is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P_80A84_F is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P_80A84_M is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P_85YMAS_F is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P_85YMAS_M is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P3HLINHE is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P3HLINHE_F is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P3HLINHE_M is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P5_HLI_NHE is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
POB_AFRO_F is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
POB_AFRO_M is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
PCLIM_HACO is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
PCLIM_MOT2 is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P6A11_NOA is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P6A11_NOAF is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P6A11_NOAM is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P12A14NOA is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P12A14NOAF is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P12A14NOAM is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P8A14AN is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P8A14AN_F is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
P8A14AN_M is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
PDESOCUP_F is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
PAFIL_PDOM is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
PDER_IMSSB is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
PAFIL_OTRAI is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
POTRAS_REL is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
VIVTOT is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
TVIVHAB is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
VPH_S_ELEC is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
VPH_AGUAFV is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
VPH_NDEAED is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
VPH_SNBIEN is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
VPH_SINTIC is highly correlated with NOM_MUN and 34 other fieldsHigh correlation
TAMLOC is highly correlated with LOC and 34 other fieldsHigh correlation
LONGITUD has 200 (2.7%) missing values Missing
LATITUD has 200 (2.7%) missing values Missing
ALTITUD has 200 (2.7%) missing values Missing
POBTOT is highly skewed (γ1 = 65.083528) Skewed
VIVTOT is highly skewed (γ1 = 66.05077623) Skewed
TVIVHAB is highly skewed (γ1 = 64.76111211) Skewed
LONGITUD is uniformly distributed Uniform
LATITUD is uniformly distributed Uniform

Reproduction

Analysis started2022-11-07 04:08:34.451853
Analysis finished2022-11-07 04:11:29.201009
Duration2 minutes and 54.75 seconds
Software versionpandas-profiling v3.1.0
Download configurationconfig.json

Variables

Año
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size446.9 KiB
2020
7500 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
20207500
100.0%

Length

2022-11-06T21:11:29.340029image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-11-06T21:11:29.434011image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
20207500
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

ENTIDAD
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size432.3 KiB
26
7500 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26
2nd row26
3rd row26
4th row26
5th row26

Common Values

ValueCountFrequency (%)
267500
100.0%

Length

2022-11-06T21:11:31.875012image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-11-06T21:11:31.969018image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
267500
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

NOM_ENT
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size461.6 KiB
Sonora
7500 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSonora
2nd rowSonora
3rd rowSonora
4th rowSonora
5th rowSonora

Common Values

ValueCountFrequency (%)
Sonora7500
100.0%

Length

2022-11-06T21:11:32.074013image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2022-11-06T21:11:32.180986image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
ValueCountFrequency (%)
sonora7500
100.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

MUN
Real number (ℝ≥0)

HIGH CORRELATION

Distinct73
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.0016
Minimum0
Maximum72
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size58.7 KiB
2022-11-06T21:11:32.322984image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q118
median30
Q347
95-th percentile68
Maximum72
Range72
Interquartile range (IQR)29

Descriptive statistics

Standard deviation18.25968746
Coefficient of variation (CV)0.553297036
Kurtosis-0.6587558458
Mean33.0016
Median Absolute Deviation (MAD)12
Skewness0.4063101459
Sum247512
Variance333.4161863
MonotonicityIncreasing
2022-11-06T21:11:32.530010image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301025
 
13.7%
181008
 
13.4%
55395
 
5.3%
29354
 
4.7%
17342
 
4.6%
42308
 
4.1%
3278
 
3.7%
26232
 
3.1%
33225
 
3.0%
47184
 
2.5%
Other values (63)3149
42.0%
ValueCountFrequency (%)
03
 
< 0.1%
110
 
0.1%
2101
 
1.3%
3278
3.7%
4101
 
1.3%
58
 
0.1%
665
 
0.9%
711
 
0.1%
82
 
< 0.1%
918
 
0.2%
ValueCountFrequency (%)
72140
1.9%
7169
0.9%
7075
1.0%
6973
1.0%
6838
 
0.5%
675
 
0.1%
66142
1.9%
6550
 
0.7%
6446
 
0.6%
633
 
< 0.1%

NOM_MUN
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct73
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size516.3 KiB
Hermosillo
1025 
Cajeme
1008 
San Luis Río Colorado
 
395
Guaymas
 
354
Caborca
 
342
Other values (68)
4376 

Length

Max length29
Median length7
Mean length9.2224
Min length4

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowTotal de la entidad Sonora
2nd rowTotal de la entidad Sonora
3rd rowTotal de la entidad Sonora
4th rowAconchi
5th rowAconchi

Common Values

ValueCountFrequency (%)
Hermosillo1025
 
13.7%
Cajeme1008
 
13.4%
San Luis Río Colorado395
 
5.3%
Guaymas354
 
4.7%
Caborca342
 
4.6%
Navojoa308
 
4.1%
Alamos278
 
3.7%
Etchojoa232
 
3.1%
Huatabampo225
 
3.0%
Pitiquito184
 
2.5%
Other values (63)3149
42.0%

Length

2022-11-06T21:11:32.760734image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
hermosillo1025
 
9.9%
cajeme1008
 
9.7%
san653
 
6.3%
río535
 
5.2%
luis395
 
3.8%
colorado395
 
3.8%
guaymas354
 
3.4%
caborca342
 
3.3%
navojoa308
 
3.0%
alamos278
 
2.7%
Other values (86)5090
49.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

LOC
Real number (ℝ≥0)

HIGH CORRELATION

Distinct2456
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean953.3376
Minimum0
Maximum9999
Zeros73
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size58.7 KiB
2022-11-06T21:11:32.957733image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q1134
median379
Q3998.25
95-th percentile3474.1
Maximum9999
Range9999
Interquartile range (IQR)864.25

Descriptive statistics

Standard deviation1551.629362
Coefficient of variation (CV)1.627575962
Kurtosis17.27346515
Mean953.3376
Median Absolute Deviation (MAD)314
Skewness3.689485741
Sum7150032
Variance2407553.676
MonotonicityNot monotonic
2022-11-06T21:11:33.156736image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
073
 
1.0%
172
 
1.0%
999868
 
0.9%
999959
 
0.8%
326
 
0.3%
725
 
0.3%
6224
 
0.3%
423
 
0.3%
223
 
0.3%
2023
 
0.3%
Other values (2446)7084
94.5%
ValueCountFrequency (%)
073
1.0%
172
1.0%
223
 
0.3%
326
 
0.3%
423
 
0.3%
516
 
0.2%
621
 
0.3%
725
 
0.3%
820
 
0.3%
915
 
0.2%
ValueCountFrequency (%)
999959
0.8%
999868
0.9%
41331
 
< 0.1%
41321
 
< 0.1%
41311
 
< 0.1%
41301
 
< 0.1%
41291
 
< 0.1%
41281
 
< 0.1%
41271
 
< 0.1%
41261
 
< 0.1%

NOM_LOC
Categorical

HIGH CARDINALITY

Distinct5710
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size577.5 KiB
Total del Municipio
 
72
Localidades de una vivienda
 
68
Ninguno
 
62
Localidades de dos viviendas
 
59
San Francisco
 
33
Other values (5705)
7206 

Length

Max length56
Median length13
Mean length15.5692
Min length2

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5142 ?
Unique (%)68.6%

Sample

1st rowTotal de la Entidad
2nd rowLocalidades de una vivienda
3rd rowLocalidades de dos viviendas
4th rowTotal del Municipio
5th rowAconchi

Common Values

ValueCountFrequency (%)
Total del Municipio72
 
1.0%
Localidades de una vivienda68
 
0.9%
Ninguno62
 
0.8%
Localidades de dos viviendas59
 
0.8%
San Francisco33
 
0.4%
El Ranchito27
 
0.4%
San Antonio20
 
0.3%
La Esperanza19
 
0.3%
La Escondida18
 
0.2%
San José17
 
0.2%
Other values (5700)7105
94.7%

Length

2022-11-06T21:11:33.399732image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
el1454
 
7.6%
la1075
 
5.6%
de618
 
3.2%
san577
 
3.0%
los485
 
2.5%
las336
 
1.8%
santa293
 
1.5%
ninguno258
 
1.4%
campo249
 
1.3%
rancho227
 
1.2%
Other values (4262)13480
70.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

LONGITUD
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct7288
Distinct (%)99.8%
Missing200
Missing (%)2.7%
Memory size697.9 KiB
110°19'58.000" W
 
2
114°56'38.241" W
 
2
109°37'47.086" W
 
2
109°48'30.000" W
 
2
110°29'47.000" W
 
2
Other values (7283)
7290 

Length

Max length16
Median length16
Mean length16
Min length16

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7276 ?
Unique (%)99.7%

Sample

1st row110°13'42.787" W
2nd row110°12'40.335" W
3rd row110°07'43.722" W
4th row110°11'34.231" W
5th row110°12'00.000" W

Common Values

ValueCountFrequency (%)
110°19'58.000" W2
 
< 0.1%
114°56'38.241" W2
 
< 0.1%
109°37'47.086" W2
 
< 0.1%
109°48'30.000" W2
 
< 0.1%
110°29'47.000" W2
 
< 0.1%
109°33'20.000" W2
 
< 0.1%
109°42'05.270" W2
 
< 0.1%
109°57'12.000" W2
 
< 0.1%
110°05'48.845" W2
 
< 0.1%
109°41'00.000" W2
 
< 0.1%
Other values (7278)7280
97.1%
(Missing)200
 
2.7%

Length

2022-11-06T21:11:33.599735image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
w7300
50.0%
110°19'58.0002
 
< 0.1%
109°42'05.2702
 
< 0.1%
110°03'36.0002
 
< 0.1%
109°41'00.0002
 
< 0.1%
110°05'48.8452
 
< 0.1%
109°57'12.0002
 
< 0.1%
109°49'49.0192
 
< 0.1%
109°33'20.0002
 
< 0.1%
109°48'30.0002
 
< 0.1%
Other values (7279)7282
49.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

LATITUD
Categorical

HIGH CARDINALITY
MISSING
UNIFORM

Distinct7293
Distinct (%)99.9%
Missing200
Missing (%)2.7%
Memory size690.8 KiB
29°26'09.000" N
 
2
28°32'28.000" N
 
2
27°44'03.000" N
 
2
30°19'33.067" N
 
2
27°15'48.099" N
 
2
Other values (7288)
7290 

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7286 ?
Unique (%)99.8%

Sample

1st row29°49'33.141" N
2nd row29°47'43.735" N
3rd row29°48'24.390" N
4th row29°45'42.847" N
5th row29°46'24.538" N

Common Values

ValueCountFrequency (%)
29°26'09.000" N2
 
< 0.1%
28°32'28.000" N2
 
< 0.1%
27°44'03.000" N2
 
< 0.1%
30°19'33.067" N2
 
< 0.1%
27°15'48.099" N2
 
< 0.1%
27°31'08.683" N2
 
< 0.1%
29°57'09.000" N2
 
< 0.1%
28°51'22.459" N1
 
< 0.1%
29°21'33.992" N1
 
< 0.1%
30°52'49.000" N1
 
< 0.1%
Other values (7283)7283
97.1%
(Missing)200
 
2.7%

Length

2022-11-06T21:11:33.754735image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
n7300
50.0%
29°26'09.0002
 
< 0.1%
28°32'28.0002
 
< 0.1%
27°44'03.0002
 
< 0.1%
30°19'33.0672
 
< 0.1%
27°15'48.0992
 
< 0.1%
27°31'08.6832
 
< 0.1%
29°57'09.0002
 
< 0.1%
27°02'15.9921
 
< 0.1%
26°58'44.1001
 
< 0.1%
Other values (7284)7284
49.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

ALTITUD
Real number (ℝ)

HIGH CORRELATION
MISSING

Distinct1346
Distinct (%)18.4%
Missing200
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean338.5836986
Minimum-8
Maximum2113
Zeros7
Zeros (%)0.1%
Negative6
Negative (%)0.1%
Memory size58.7 KiB
2022-11-06T21:11:34.163733image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum-8
5-th percentile8
Q128
median143
Q3559.25
95-th percentile1219
Maximum2113
Range2121
Interquartile range (IQR)531.25

Descriptive statistics

Standard deviation406.5427439
Coefficient of variation (CV)1.200715644
Kurtosis0.789028105
Mean338.5836986
Median Absolute Deviation (MAD)129
Skewness1.295842538
Sum2471661
Variance165277.0026
MonotonicityNot monotonic
2022-11-06T21:11:34.377741image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26119
 
1.6%
20112
 
1.5%
29101
 
1.3%
1091
 
1.2%
1690
 
1.2%
1988
 
1.2%
2787
 
1.2%
3086
 
1.1%
2881
 
1.1%
2578
 
1.0%
Other values (1336)6367
84.9%
(Missing)200
 
2.7%
ValueCountFrequency (%)
-82
 
< 0.1%
-41
 
< 0.1%
-31
 
< 0.1%
-12
 
< 0.1%
07
 
0.1%
112
 
0.2%
226
0.3%
340
0.5%
452
0.7%
556
0.7%
ValueCountFrequency (%)
21131
< 0.1%
21041
< 0.1%
21021
< 0.1%
20831
< 0.1%
20481
< 0.1%
19001
< 0.1%
18991
< 0.1%
18851
< 0.1%
18271
< 0.1%
17472
< 0.1%

POBTOT
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct687
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1183.794667
Minimum1
Maximum2944840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.7 KiB
2022-11-06T21:11:34.613732image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q310
95-th percentile440.1
Maximum2944840
Range2944839
Interquartile range (IQR)8

Descriptive statistics

Standard deviation38168.15223
Coefficient of variation (CV)32.24220661
Kurtosis4804.028814
Mean1183.794667
Median Absolute Deviation (MAD)3
Skewness65.083528
Sum8878460
Variance1456807845
MonotonicityNot monotonic
2022-11-06T21:11:34.813737image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11617
21.6%
21197
16.0%
3812
10.8%
4659
 
8.8%
5463
 
6.2%
6319
 
4.3%
7212
 
2.8%
8152
 
2.0%
9114
 
1.5%
10107
 
1.4%
Other values (677)1848
24.6%
ValueCountFrequency (%)
11617
21.6%
21197
16.0%
3812
10.8%
4659
8.8%
5463
 
6.2%
6319
 
4.3%
7212
 
2.8%
8152
 
2.0%
9114
 
1.5%
10107
 
1.4%
ValueCountFrequency (%)
29448401
< 0.1%
9362631
< 0.1%
8555631
< 0.1%
4364841
< 0.1%
3294041
< 0.1%
2647821
< 0.1%
2611371
< 0.1%
1990211
< 0.1%
1766851
< 0.1%
1643871
< 0.1%

POBFEM
Categorical

HIGH CARDINALITY

Distinct488
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size427.0 KiB
*
5432 
6
 
107
5
 
101
4
 
88
3
 
87
Other values (483)
1685 

Length

Max length7
Median length1
Mean length1.277466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)3.6%

Sample

1st row1472643
2nd row5317
3rd row2155
4th row1227
5th row785

Common Values

ValueCountFrequency (%)
*5432
72.4%
6107
 
1.4%
5101
 
1.3%
488
 
1.2%
387
 
1.2%
782
 
1.1%
868
 
0.9%
264
 
0.9%
959
 
0.8%
1044
 
0.6%
Other values (478)1368
 
18.2%

Length

2022-11-06T21:11:35.021732image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
6107
 
1.4%
5101
 
1.3%
488
 
1.2%
387
 
1.2%
782
 
1.1%
868
 
0.9%
264
 
0.9%
959
 
0.8%
1044
 
0.6%
Other values (478)1368
 
18.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POBMAS
Categorical

HIGH CARDINALITY

Distinct530
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size427.1 KiB
*
5432 
5
 
109
7
 
99
6
 
92
4
 
90
Other values (525)
1678 

Length

Max length7
Median length1
Mean length1.2996
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique328 ?
Unique (%)4.4%

Sample

1st row1472197
2nd row11566
3rd row2932
4th row1336
5th row865

Common Values

ValueCountFrequency (%)
*5432
72.4%
5109
 
1.5%
799
 
1.3%
692
 
1.2%
490
 
1.2%
868
 
0.9%
366
 
0.9%
956
 
0.7%
1053
 
0.7%
1153
 
0.7%
Other values (520)1382
 
18.4%

Length

2022-11-06T21:11:35.203735image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
5109
 
1.5%
799
 
1.3%
692
 
1.2%
490
 
1.2%
868
 
0.9%
366
 
0.9%
956
 
0.7%
1053
 
0.7%
1153
 
0.7%
Other values (520)1382
 
18.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_0A2
Categorical

HIGH CARDINALITY

Distinct196
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
573 
1
 
305
2
 
194
3
 
98
Other values (191)
898 

Length

Max length6
Median length1
Mean length1.106533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)1.6%

Sample

1st row124294
2nd row476
3rd row201
4th row99
5th row55

Common Values

ValueCountFrequency (%)
*5432
72.4%
0573
 
7.6%
1305
 
4.1%
2194
 
2.6%
398
 
1.3%
479
 
1.1%
653
 
0.7%
551
 
0.7%
737
 
0.5%
935
 
0.5%
Other values (186)643
 
8.6%

Length

2022-11-06T21:11:35.379734image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0573
 
7.6%
1305
 
4.1%
2194
 
2.6%
398
 
1.3%
479
 
1.1%
653
 
0.7%
551
 
0.7%
737
 
0.5%
935
 
0.5%
Other values (186)643
 
8.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_0A2_F
Categorical

HIGH CARDINALITY

Distinct145
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
788 
1
 
322
2
 
157
3
 
108
Other values (140)
693 

Length

Max length5
Median length1
Mean length1.074
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)1.2%

Sample

1st row61239
2nd row234
3rd row103
4th row46
5th row26

Common Values

ValueCountFrequency (%)
*5432
72.4%
0788
 
10.5%
1322
 
4.3%
2157
 
2.1%
3108
 
1.4%
465
 
0.9%
658
 
0.8%
546
 
0.6%
841
 
0.5%
734
 
0.5%
Other values (135)449
 
6.0%

Length

2022-11-06T21:11:35.578110image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0788
 
10.5%
1322
 
4.3%
2157
 
2.1%
3108
 
1.4%
465
 
0.9%
658
 
0.8%
546
 
0.6%
841
 
0.5%
734
 
0.5%
Other values (135)449
 
6.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_0A2_M
Categorical

HIGH CARDINALITY

Distinct153
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
805 
1
 
316
2
 
143
3
 
119
Other values (148)
685 

Length

Max length5
Median length1
Mean length1.074
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)1.3%

Sample

1st row63055
2nd row242
3rd row98
4th row53
5th row29

Common Values

ValueCountFrequency (%)
*5432
72.4%
0805
 
10.7%
1316
 
4.2%
2143
 
1.9%
3119
 
1.6%
471
 
0.9%
653
 
0.7%
748
 
0.6%
539
 
0.5%
N/D31
 
0.4%
Other values (143)443
 
5.9%

Length

2022-11-06T21:11:35.778603image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0805
 
10.7%
1316
 
4.2%
2143
 
1.9%
3119
 
1.6%
471
 
0.9%
653
 
0.7%
748
 
0.6%
539
 
0.5%
n/d31
 
0.4%
Other values (143)443
 
5.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_3YMAS
Categorical

HIGH CARDINALITY

Distinct665
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size427.8 KiB
*
5432 
10
 
67
9
 
63
12
 
60
8
 
55
Other values (660)
1823 

Length

Max length7
Median length1
Mean length1.387066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)5.6%

Sample

1st row2817821
2nd row16241
3rd row4572
4th row2464
5th row1595

Common Values

ValueCountFrequency (%)
*5432
72.4%
1067
 
0.9%
963
 
0.8%
1260
 
0.8%
855
 
0.7%
1153
 
0.7%
1345
 
0.6%
743
 
0.6%
1738
 
0.5%
1438
 
0.5%
Other values (655)1606
 
21.4%

Length

2022-11-06T21:11:35.950606image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1067
 
0.9%
963
 
0.8%
1260
 
0.8%
855
 
0.7%
1153
 
0.7%
1345
 
0.6%
743
 
0.6%
1738
 
0.5%
1438
 
0.5%
Other values (655)1606
 
21.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_3YMAS_F
Categorical

HIGH CARDINALITY

Distinct493
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size427.0 KiB
*
5432 
5
 
106
6
 
105
4
 
96
3
 
87
Other values (488)
1674 

Length

Max length7
Median length1
Mean length1.2784
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)3.8%

Sample

1st row1410043
2nd row4998
3rd row1896
4th row1181
5th row759

Common Values

ValueCountFrequency (%)
*5432
72.4%
5106
 
1.4%
6105
 
1.4%
496
 
1.3%
387
 
1.2%
781
 
1.1%
274
 
1.0%
857
 
0.8%
955
 
0.7%
1144
 
0.6%
Other values (483)1363
 
18.2%

Length

2022-11-06T21:11:36.128891image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
5106
 
1.4%
6105
 
1.4%
496
 
1.3%
387
 
1.2%
781
 
1.1%
274
 
1.0%
857
 
0.8%
955
 
0.7%
1144
 
0.6%
Other values (483)1363
 
18.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_3YMAS_M
Categorical

HIGH CARDINALITY

Distinct506
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size427.1 KiB
*
5432 
5
 
108
4
 
100
6
 
97
7
 
87
Other values (501)
1676 

Length

Max length7
Median length1
Mean length1.301066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique297 ?
Unique (%)4.0%

Sample

1st row1407778
2nd row11243
3rd row2676
4th row1283
5th row836

Common Values

ValueCountFrequency (%)
*5432
72.4%
5108
 
1.4%
4100
 
1.3%
697
 
1.3%
787
 
1.2%
372
 
1.0%
869
 
0.9%
954
 
0.7%
1049
 
0.7%
1142
 
0.6%
Other values (496)1390
 
18.5%

Length

2022-11-06T21:11:36.290895image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
5108
 
1.4%
4100
 
1.3%
697
 
1.3%
787
 
1.2%
372
 
1.0%
869
 
0.9%
954
 
0.7%
1049
 
0.7%
1142
 
0.6%
Other values (496)1390
 
18.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_5YMAS
Categorical

HIGH CARDINALITY

Distinct648
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size427.7 KiB
*
5432 
11
 
73
9
 
63
10
 
60
8
 
57
Other values (643)
1815 

Length

Max length7
Median length1
Mean length1.382266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)5.4%

Sample

1st row2723770
2nd row15913
3rd row4427
4th row2389
5th row1547

Common Values

ValueCountFrequency (%)
*5432
72.4%
1173
 
1.0%
963
 
0.8%
1060
 
0.8%
857
 
0.8%
1250
 
0.7%
748
 
0.6%
646
 
0.6%
1345
 
0.6%
1639
 
0.5%
Other values (638)1587
 
21.2%

Length

2022-11-06T21:11:36.453894image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1173
 
1.0%
963
 
0.8%
1060
 
0.8%
857
 
0.8%
1250
 
0.7%
748
 
0.6%
646
 
0.6%
1345
 
0.6%
1639
 
0.5%
Other values (638)1587
 
21.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_5YMAS_F
Categorical

HIGH CARDINALITY

Distinct490
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size426.9 KiB
*
5432 
5
 
107
6
 
101
4
 
100
3
 
98
Other values (485)
1662 

Length

Max length7
Median length1
Mean length1.274666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)3.8%

Sample

1st row1363541
2nd row4860
3rd row1819
4th row1144
5th row736

Common Values

ValueCountFrequency (%)
*5432
72.4%
5107
 
1.4%
6101
 
1.3%
4100
 
1.3%
398
 
1.3%
782
 
1.1%
278
 
1.0%
865
 
0.9%
1145
 
0.6%
143
 
0.6%
Other values (480)1349
 
18.0%

Length

2022-11-06T21:11:36.647910image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
5107
 
1.4%
6101
 
1.3%
4100
 
1.3%
398
 
1.3%
782
 
1.1%
278
 
1.0%
865
 
0.9%
1145
 
0.6%
143
 
0.6%
Other values (480)1349
 
18.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_5YMAS_M
Categorical

HIGH CARDINALITY

Distinct511
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size427.1 KiB
*
5432 
5
 
117
4
 
101
7
 
92
6
 
88
Other values (506)
1670 

Length

Max length7
Median length1
Mean length1.2972
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)4.2%

Sample

1st row1360229
2nd row11053
3rd row2608
4th row1245
5th row811

Common Values

ValueCountFrequency (%)
*5432
72.4%
5117
 
1.6%
4101
 
1.3%
792
 
1.2%
688
 
1.2%
381
 
1.1%
865
 
0.9%
951
 
0.7%
1048
 
0.6%
1146
 
0.6%
Other values (501)1379
 
18.4%

Length

2022-11-06T21:11:36.849893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
5117
 
1.6%
4101
 
1.3%
792
 
1.2%
688
 
1.2%
381
 
1.1%
865
 
0.9%
951
 
0.7%
1048
 
0.6%
1146
 
0.6%
Other values (501)1379
 
18.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_12YMAS
Categorical

HIGH CARDINALITY

Distinct626
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size427.6 KiB
*
5432 
8
 
80
10
 
76
9
 
70
7
 
62
Other values (621)
1780 

Length

Max length7
Median length1
Mean length1.363333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)5.2%

Sample

1st row2374818
2nd row14873
3rd row3957
4th row2109
5th row1379

Common Values

ValueCountFrequency (%)
*5432
72.4%
880
 
1.1%
1076
 
1.0%
970
 
0.9%
762
 
0.8%
660
 
0.8%
1151
 
0.7%
1248
 
0.6%
1443
 
0.6%
538
 
0.5%
Other values (616)1540
 
20.5%

Length

2022-11-06T21:11:37.028922image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
880
 
1.1%
1076
 
1.0%
970
 
0.9%
762
 
0.8%
660
 
0.8%
1151
 
0.7%
1248
 
0.6%
1443
 
0.6%
538
 
0.5%
Other values (616)1540
 
20.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_12YMAS_F
Categorical

HIGH CARDINALITY

Distinct476
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Memory size426.8 KiB
*
5432 
3
 
129
4
 
122
5
 
113
6
 
104
Other values (471)
1600 

Length

Max length7
Median length1
Mean length1.260266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)3.9%

Sample

1st row1191883
2nd row4329
3rd row1583
4th row1016
5th row665

Common Values

ValueCountFrequency (%)
*5432
72.4%
3129
 
1.7%
4122
 
1.6%
5113
 
1.5%
6104
 
1.4%
292
 
1.2%
766
 
0.9%
858
 
0.8%
150
 
0.7%
945
 
0.6%
Other values (466)1289
 
17.2%

Length

2022-11-06T21:11:37.205893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3129
 
1.7%
4122
 
1.6%
5113
 
1.5%
6104
 
1.4%
292
 
1.2%
766
 
0.9%
858
 
0.8%
150
 
0.7%
945
 
0.6%
Other values (466)1289
 
17.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_12YMAS_M
Categorical

HIGH CARDINALITY

Distinct485
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size427.0 KiB
*
5432 
5
 
129
4
 
123
3
 
100
6
 
93
Other values (480)
1623 

Length

Max length7
Median length1
Mean length1.283333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique286 ?
Unique (%)3.8%

Sample

1st row1182935
2nd row10544
3rd row2374
4th row1093
5th row714

Common Values

ValueCountFrequency (%)
*5432
72.4%
5129
 
1.7%
4123
 
1.6%
3100
 
1.3%
693
 
1.2%
783
 
1.1%
863
 
0.8%
955
 
0.7%
1149
 
0.7%
1047
 
0.6%
Other values (475)1326
 
17.7%

Length

2022-11-06T21:11:37.377897image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
5129
 
1.7%
4123
 
1.6%
3100
 
1.3%
693
 
1.2%
783
 
1.1%
863
 
0.8%
955
 
0.7%
1149
 
0.7%
1047
 
0.6%
Other values (475)1326
 
17.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15YMAS
Categorical

HIGH CARDINALITY

Distinct610
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size427.5 KiB
*
5432 
8
 
85
6
 
77
7
 
74
9
 
69
Other values (605)
1763 

Length

Max length7
Median length1
Mean length1.351733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique385 ?
Unique (%)5.1%

Sample

1st row2218268
2nd row14368
3rd row3758
4th row1974
5th row1291

Common Values

ValueCountFrequency (%)
*5432
72.4%
885
 
1.1%
677
 
1.0%
774
 
1.0%
969
 
0.9%
1064
 
0.9%
1154
 
0.7%
547
 
0.6%
1243
 
0.6%
1639
 
0.5%
Other values (600)1516
 
20.2%

Length

2022-11-06T21:11:37.560892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
885
 
1.1%
677
 
1.0%
774
 
1.0%
969
 
0.9%
1064
 
0.9%
1154
 
0.7%
547
 
0.6%
1243
 
0.6%
1639
 
0.5%
Other values (600)1516
 
20.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15YMAS_F
Categorical

HIGH CARDINALITY

Distinct448
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size426.8 KiB
*
5432 
4
 
132
3
 
129
2
 
113
5
 
107
Other values (443)
1587 

Length

Max length7
Median length1
Mean length1.252266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)3.4%

Sample

1st row1115432
2nd row4107
3rd row1485
4th row952
5th row627

Common Values

ValueCountFrequency (%)
*5432
72.4%
4132
 
1.8%
3129
 
1.7%
2113
 
1.5%
5107
 
1.4%
6104
 
1.4%
765
 
0.9%
864
 
0.9%
155
 
0.7%
940
 
0.5%
Other values (438)1259
 
16.8%

Length

2022-11-06T21:11:37.746896image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
4132
 
1.8%
3129
 
1.7%
2113
 
1.5%
5107
 
1.4%
6104
 
1.4%
765
 
0.9%
864
 
0.9%
155
 
0.7%
940
 
0.5%
Other values (438)1259
 
16.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15YMAS_M
Categorical

HIGH CARDINALITY

Distinct480
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size426.9 KiB
*
5432 
4
 
134
5
 
134
3
 
119
6
 
89
Other values (475)
1592 

Length

Max length7
Median length1
Mean length1.274666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)3.9%

Sample

1st row1102836
2nd row10261
3rd row2273
4th row1022
5th row664

Common Values

ValueCountFrequency (%)
*5432
72.4%
4134
 
1.8%
5134
 
1.8%
3119
 
1.6%
689
 
1.2%
777
 
1.0%
870
 
0.9%
952
 
0.7%
1151
 
0.7%
1042
 
0.6%
Other values (470)1300
 
17.3%

Length

2022-11-06T21:11:37.914892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
4134
 
1.8%
5134
 
1.8%
3119
 
1.6%
689
 
1.2%
777
 
1.0%
870
 
0.9%
952
 
0.7%
1151
 
0.7%
1042
 
0.6%
Other values (470)1300
 
17.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_18YMAS
Categorical

HIGH CARDINALITY

Distinct586
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size427.4 KiB
*
5432 
6
 
101
8
 
86
9
 
72
7
 
69
Other values (581)
1740 

Length

Max length7
Median length1
Mean length1.3424
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique358 ?
Unique (%)4.8%

Sample

1st row2065941
2nd row13888
3rd row3538
4th row1838
5th row1208

Common Values

ValueCountFrequency (%)
*5432
72.4%
6101
 
1.3%
886
 
1.1%
972
 
1.0%
769
 
0.9%
1061
 
0.8%
556
 
0.7%
1250
 
0.7%
1145
 
0.6%
441
 
0.5%
Other values (576)1487
 
19.8%

Length

2022-11-06T21:11:38.086894image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
6101
 
1.3%
886
 
1.1%
972
 
1.0%
769
 
0.9%
1061
 
0.8%
556
 
0.7%
1250
 
0.7%
1145
 
0.6%
441
 
0.5%
Other values (576)1487
 
19.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_18YMAS_F
Categorical

HIGH CARDINALITY

Distinct438
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size426.7 KiB
*
5432 
3
 
145
4
 
140
2
 
120
5
 
113
Other values (433)
1550 

Length

Max length7
Median length1
Mean length1.246133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique253 ?
Unique (%)3.4%

Sample

1st row1040798
2nd row3897
3rd row1385
4th row881
5th row583

Common Values

ValueCountFrequency (%)
*5432
72.4%
3145
 
1.9%
4140
 
1.9%
2120
 
1.6%
5113
 
1.5%
696
 
1.3%
764
 
0.9%
160
 
0.8%
858
 
0.8%
1039
 
0.5%
Other values (428)1233
 
16.4%

Length

2022-11-06T21:11:38.257895image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3145
 
1.9%
4140
 
1.9%
2120
 
1.6%
5113
 
1.5%
696
 
1.3%
764
 
0.9%
160
 
0.8%
858
 
0.8%
1039
 
0.5%
Other values (428)1233
 
16.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_18YMAS_M
Categorical

HIGH CARDINALITY

Distinct460
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size426.9 KiB
*
5432 
4
 
141
3
 
141
5
 
134
6
 
88
Other values (455)
1564 

Length

Max length7
Median length1
Mean length1.2676
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)3.5%

Sample

1st row1025143
2nd row9991
3rd row2153
4th row957
5th row625

Common Values

ValueCountFrequency (%)
*5432
72.4%
4141
 
1.9%
3141
 
1.9%
5134
 
1.8%
688
 
1.2%
873
 
1.0%
771
 
0.9%
952
 
0.7%
1048
 
0.6%
236
 
0.5%
Other values (450)1284
 
17.1%

Length

2022-11-06T21:11:38.589892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
4141
 
1.9%
3141
 
1.9%
5134
 
1.8%
688
 
1.2%
873
 
1.0%
771
 
0.9%
952
 
0.7%
1048
 
0.6%
236
 
0.5%
Other values (450)1284
 
17.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_3A5
Categorical

HIGH CARDINALITY

Distinct197
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
 
521
1
 
323
2
 
184
3
 
102
Other values (192)
938 

Length

Max length6
Median length1
Mean length1.109466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)1.5%

Sample

1st row143132
2nd row460
3rd row221
4th row116
5th row76

Common Values

ValueCountFrequency (%)
*5432
72.4%
0521
 
6.9%
1323
 
4.3%
2184
 
2.5%
3102
 
1.4%
499
 
1.3%
647
 
0.6%
547
 
0.6%
742
 
0.6%
842
 
0.6%
Other values (187)661
 
8.8%

Length

2022-11-06T21:11:38.775895image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0521
 
6.9%
1323
 
4.3%
2184
 
2.5%
3102
 
1.4%
499
 
1.3%
647
 
0.6%
547
 
0.6%
742
 
0.6%
842
 
0.6%
Other values (187)661
 
8.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_3A5_F
Categorical

HIGH CARDINALITY

Distinct155
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
776 
1
 
336
2
 
138
3
 
103
Other values (150)
715 

Length

Max length5
Median length1
Mean length1.0796
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)1.3%

Sample

1st row70693
2nd row195
3rd row115
4th row58
5th row35

Common Values

ValueCountFrequency (%)
*5432
72.4%
0776
 
10.3%
1336
 
4.5%
2138
 
1.8%
3103
 
1.4%
466
 
0.9%
552
 
0.7%
647
 
0.6%
741
 
0.5%
1032
 
0.4%
Other values (145)477
 
6.4%

Length

2022-11-06T21:11:38.962893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0776
 
10.3%
1336
 
4.5%
2138
 
1.8%
3103
 
1.4%
466
 
0.9%
552
 
0.7%
647
 
0.6%
741
 
0.5%
1032
 
0.4%
Other values (145)477
 
6.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_3A5_M
Categorical

HIGH CARDINALITY

Distinct156
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
732 
1
 
322
2
 
180
3
 
112
Other values (151)
722 

Length

Max length5
Median length1
Mean length1.080133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)1.3%

Sample

1st row72439
2nd row265
3rd row106
4th row58
5th row41

Common Values

ValueCountFrequency (%)
*5432
72.4%
0732
 
9.8%
1322
 
4.3%
2180
 
2.4%
3112
 
1.5%
473
 
1.0%
551
 
0.7%
647
 
0.6%
836
 
0.5%
1032
 
0.4%
Other values (146)483
 
6.4%

Length

2022-11-06T21:11:39.149893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0732
 
9.8%
1322
 
4.3%
2180
 
2.4%
3112
 
1.5%
473
 
1.0%
551
 
0.7%
647
 
0.6%
836
 
0.5%
1032
 
0.4%
Other values (146)483
 
6.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_6A11
Categorical

HIGH CARDINALITY

Distinct269
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
0
 
377
1
 
235
2
 
180
3
 
119
Other values (264)
1157 

Length

Max length6
Median length1
Mean length1.154133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)2.1%

Sample

1st row299871
2nd row908
3rd row394
4th row239
5th row140

Common Values

ValueCountFrequency (%)
*5432
72.4%
0377
 
5.0%
1235
 
3.1%
2180
 
2.4%
3119
 
1.6%
492
 
1.2%
570
 
0.9%
645
 
0.6%
742
 
0.6%
836
 
0.5%
Other values (259)872
 
11.6%

Length

2022-11-06T21:11:39.327896image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0377
 
5.0%
1235
 
3.1%
2180
 
2.4%
3119
 
1.6%
492
 
1.2%
570
 
0.9%
645
 
0.6%
742
 
0.6%
836
 
0.5%
Other values (259)872
 
11.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_6A11_F
Categorical

HIGH CARDINALITY

Distinct199
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
564 
1
 
285
2
 
189
3
 
100
Other values (194)
930 

Length

Max length6
Median length1
Mean length1.110533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)1.6%

Sample

1st row147467
2nd row474
3rd row198
4th row107
5th row59

Common Values

ValueCountFrequency (%)
*5432
72.4%
0564
 
7.5%
1285
 
3.8%
2189
 
2.5%
3100
 
1.3%
476
 
1.0%
556
 
0.7%
654
 
0.7%
746
 
0.6%
840
 
0.5%
Other values (189)658
 
8.8%

Length

2022-11-06T21:11:39.485892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0564
 
7.5%
1285
 
3.8%
2189
 
2.5%
3100
 
1.3%
476
 
1.0%
556
 
0.7%
654
 
0.7%
746
 
0.6%
840
 
0.5%
Other values (189)658
 
8.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_6A11_M
Categorical

HIGH CARDINALITY

Distinct202
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
574 
1
 
292
2
 
171
3
 
93
Other values (197)
938 

Length

Max length6
Median length1
Mean length1.1136
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)1.6%

Sample

1st row152404
2nd row434
3rd row196
4th row132
5th row81

Common Values

ValueCountFrequency (%)
*5432
72.4%
0574
 
7.7%
1292
 
3.9%
2171
 
2.3%
393
 
1.2%
476
 
1.0%
556
 
0.7%
646
 
0.6%
838
 
0.5%
738
 
0.5%
Other values (192)684
 
9.1%

Length

2022-11-06T21:11:39.668891image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0574
 
7.7%
1292
 
3.9%
2171
 
2.3%
393
 
1.2%
476
 
1.0%
556
 
0.7%
646
 
0.6%
838
 
0.5%
738
 
0.5%
Other values (192)684
 
9.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_8A14
Categorical

HIGH CARDINALITY

Distinct296
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
0
 
334
1
 
207
2
 
186
3
 
132
Other values (291)
1209 

Length

Max length6
Median length1
Mean length1.167733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)2.3%

Sample

1st row358596
2nd row1118
3rd row464
4th row303
5th row185

Common Values

ValueCountFrequency (%)
*5432
72.4%
0334
 
4.5%
1207
 
2.8%
2186
 
2.5%
3132
 
1.8%
491
 
1.2%
562
 
0.8%
655
 
0.7%
741
 
0.5%
1337
 
0.5%
Other values (286)923
 
12.3%

Length

2022-11-06T21:11:39.845893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0334
 
4.5%
1207
 
2.8%
2186
 
2.5%
3132
 
1.8%
491
 
1.2%
562
 
0.8%
655
 
0.7%
741
 
0.5%
1337
 
0.5%
Other values (286)923
 
12.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_8A14_F
Categorical

HIGH CARDINALITY

Distinct213
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
517
1
 
297
2
 
168
3
 
101
Other values (208)
985 

Length

Max length6
Median length1
Mean length1.118133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)1.6%

Sample

1st row175659
2nd row547
3rd row235
4th row143
5th row79

Common Values

ValueCountFrequency (%)
*5432
72.4%
0517
 
6.9%
1297
 
4.0%
2168
 
2.2%
3101
 
1.3%
474
 
1.0%
567
 
0.9%
650
 
0.7%
844
 
0.6%
742
 
0.6%
Other values (203)708
 
9.4%

Length

2022-11-06T21:11:40.021893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0517
 
6.9%
1297
 
4.0%
2168
 
2.2%
3101
 
1.3%
474
 
1.0%
567
 
0.9%
650
 
0.7%
844
 
0.6%
742
 
0.6%
Other values (203)708
 
9.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_8A14_M
Categorical

HIGH CARDINALITY

Distinct215
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
518
1
 
272
2
 
171
3
 
106
Other values (210)
1001 

Length

Max length6
Median length1
Mean length1.1228
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)1.6%

Sample

1st row182937
2nd row571
3rd row229
4th row160
5th row106

Common Values

ValueCountFrequency (%)
*5432
72.4%
0518
 
6.9%
1272
 
3.6%
2171
 
2.3%
3106
 
1.4%
562
 
0.8%
460
 
0.8%
659
 
0.8%
748
 
0.6%
834
 
0.5%
Other values (205)738
 
9.8%

Length

2022-11-06T21:11:40.192893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0518
 
6.9%
1272
 
3.6%
2171
 
2.3%
3106
 
1.4%
562
 
0.8%
460
 
0.8%
659
 
0.8%
748
 
0.6%
834
 
0.5%
Other values (205)738
 
9.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_12A14
Categorical

HIGH CARDINALITY

Distinct209
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
540
1
 
306
2
 
157
3
 
116
Other values (204)
949 

Length

Max length6
Median length1
Mean length1.113866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)1.6%

Sample

1st row156550
2nd row505
3rd row199
4th row135
5th row88

Common Values

ValueCountFrequency (%)
*5432
72.4%
0540
 
7.2%
1306
 
4.1%
2157
 
2.1%
3116
 
1.5%
468
 
0.9%
562
 
0.8%
647
 
0.6%
941
 
0.5%
837
 
0.5%
Other values (199)694
 
9.3%

Length

2022-11-06T21:11:40.364891image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0540
 
7.2%
1306
 
4.1%
2157
 
2.1%
3116
 
1.5%
468
 
0.9%
562
 
0.8%
647
 
0.6%
941
 
0.5%
837
 
0.5%
Other values (199)694
 
9.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_12A14_F
Categorical

HIGH CARDINALITY

Distinct156
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
780 
1
 
318
2
 
135
3
 
99
Other values (151)
736 

Length

Max length5
Median length1
Mean length1.080666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)1.3%

Sample

1st row76451
2nd row222
3rd row98
4th row64
5th row38

Common Values

ValueCountFrequency (%)
*5432
72.4%
0780
 
10.4%
1318
 
4.2%
2135
 
1.8%
399
 
1.3%
470
 
0.9%
654
 
0.7%
551
 
0.7%
738
 
0.5%
932
 
0.4%
Other values (146)491
 
6.5%

Length

2022-11-06T21:11:40.542919image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0780
 
10.4%
1318
 
4.2%
2135
 
1.8%
399
 
1.3%
470
 
0.9%
654
 
0.7%
551
 
0.7%
738
 
0.5%
932
 
0.4%
Other values (146)491
 
6.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_12A14_M
Categorical

HIGH CARDINALITY

Distinct158
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
740 
1
 
285
2
 
165
3
 
113
Other values (153)
765 

Length

Max length5
Median length1
Mean length1.084133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)1.3%

Sample

1st row80099
2nd row283
3rd row101
4th row71
5th row50

Common Values

ValueCountFrequency (%)
*5432
72.4%
0740
 
9.9%
1285
 
3.8%
2165
 
2.2%
3113
 
1.5%
481
 
1.1%
560
 
0.8%
655
 
0.7%
835
 
0.5%
733
 
0.4%
Other values (148)501
 
6.7%

Length

2022-11-06T21:11:40.731894image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0740
 
9.9%
1285
 
3.8%
2165
 
2.2%
3113
 
1.5%
481
 
1.1%
560
 
0.8%
655
 
0.7%
835
 
0.5%
733
 
0.4%
Other values (148)501
 
6.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15A17
Categorical

HIGH CARDINALITY

Distinct204
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
583 
1
 
283
2
 
156
3
 
106
Other values (199)
940 

Length

Max length6
Median length1
Mean length1.112
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)1.6%

Sample

1st row152327
2nd row480
3rd row220
4th row136
5th row83

Common Values

ValueCountFrequency (%)
*5432
72.4%
0583
 
7.8%
1283
 
3.8%
2156
 
2.1%
3106
 
1.4%
475
 
1.0%
556
 
0.7%
646
 
0.6%
846
 
0.6%
735
 
0.5%
Other values (194)682
 
9.1%

Length

2022-11-06T21:11:40.924892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0583
 
7.8%
1283
 
3.8%
2156
 
2.1%
3106
 
1.4%
475
 
1.0%
556
 
0.7%
646
 
0.6%
846
 
0.6%
735
 
0.5%
Other values (194)682
 
9.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15A17_F
Categorical

HIGH CARDINALITY

Distinct154
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
810 
1
 
296
2
 
142
3
 
101
Other values (149)
719 

Length

Max length5
Median length1
Mean length1.079733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)1.3%

Sample

1st row74634
2nd row210
3rd row100
4th row71
5th row44

Common Values

ValueCountFrequency (%)
*5432
72.4%
0810
 
10.8%
1296
 
3.9%
2142
 
1.9%
3101
 
1.3%
469
 
0.9%
554
 
0.7%
748
 
0.6%
642
 
0.6%
935
 
0.5%
Other values (144)471
 
6.3%

Length

2022-11-06T21:11:41.104895image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0810
 
10.8%
1296
 
3.9%
2142
 
1.9%
3101
 
1.3%
469
 
0.9%
554
 
0.7%
748
 
0.6%
642
 
0.6%
935
 
0.5%
Other values (144)471
 
6.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15A17_M
Categorical

HIGH CARDINALITY

Distinct155
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
764 
1
 
294
2
 
155
3
 
101
Other values (150)
754 

Length

Max length5
Median length1
Mean length1.083333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)1.2%

Sample

1st row77693
2nd row270
3rd row120
4th row65
5th row39

Common Values

ValueCountFrequency (%)
*5432
72.4%
0764
 
10.2%
1294
 
3.9%
2155
 
2.1%
3101
 
1.3%
471
 
0.9%
663
 
0.8%
548
 
0.6%
738
 
0.5%
N/D31
 
0.4%
Other values (145)503
 
6.7%

Length

2022-11-06T21:11:41.295895image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0764
 
10.2%
1294
 
3.9%
2155
 
2.1%
3101
 
1.3%
471
 
0.9%
663
 
0.8%
548
 
0.6%
738
 
0.5%
n/d31
 
0.4%
Other values (145)503
 
6.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_18A24
Categorical

HIGH CARDINALITY

Distinct280
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
0
 
311
1
 
245
2
 
209
3
 
131
Other values (275)
1172 

Length

Max length6
Median length1
Mean length1.155866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique163 ?
Unique (%)2.2%

Sample

1st row350392
2nd row2329
3rd row505
4th row248
5th row141

Common Values

ValueCountFrequency (%)
*5432
72.4%
0311
 
4.1%
1245
 
3.3%
2209
 
2.8%
3131
 
1.7%
491
 
1.2%
574
 
1.0%
650
 
0.7%
738
 
0.5%
833
 
0.4%
Other values (270)886
 
11.8%

Length

2022-11-06T21:11:41.481893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0311
 
4.1%
1245
 
3.3%
2209
 
2.8%
3131
 
1.7%
491
 
1.2%
574
 
1.0%
650
 
0.7%
738
 
0.5%
833
 
0.4%
Other values (270)886
 
11.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_18A24_F
Categorical

HIGH CARDINALITY

Distinct201
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
 
520
1
 
341
2
 
199
3
 
96
Other values (196)
912 

Length

Max length6
Median length1
Mean length1.109466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)1.5%

Sample

1st row171744
2nd row683
3rd row210
4th row106
5th row63

Common Values

ValueCountFrequency (%)
*5432
72.4%
0520
 
6.9%
1341
 
4.5%
2199
 
2.7%
396
 
1.3%
474
 
1.0%
559
 
0.8%
642
 
0.6%
740
 
0.5%
934
 
0.5%
Other values (191)663
 
8.8%

Length

2022-11-06T21:11:41.663892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0520
 
6.9%
1341
 
4.5%
2199
 
2.7%
396
 
1.3%
474
 
1.0%
559
 
0.8%
642
 
0.6%
740
 
0.5%
934
 
0.5%
Other values (191)663
 
8.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_18A24_M
Categorical

HIGH CARDINALITY

Distinct210
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
492
1
 
309
2
 
191
3
 
98
Other values (205)
978 

Length

Max length6
Median length1
Mean length1.118133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)1.6%

Sample

1st row178648
2nd row1646
3rd row295
4th row142
5th row78

Common Values

ValueCountFrequency (%)
*5432
72.4%
0492
 
6.6%
1309
 
4.1%
2191
 
2.5%
398
 
1.3%
484
 
1.1%
556
 
0.7%
651
 
0.7%
738
 
0.5%
1034
 
0.5%
Other values (200)715
 
9.5%

Length

2022-11-06T21:11:41.840892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0492
 
6.6%
1309
 
4.1%
2191
 
2.5%
398
 
1.3%
484
 
1.1%
556
 
0.7%
651
 
0.7%
738
 
0.5%
1034
 
0.5%
Other values (200)715
 
9.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15A49_F
Categorical

HIGH CARDINALITY

Distinct374
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
2
 
174
3
 
174
1
 
141
4
 
122
Other values (369)
1457 

Length

Max length6
Median length1
Mean length1.212533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)2.8%

Sample

1st row769057
2nd row2600
3rd row909
4th row587
5th row379

Common Values

ValueCountFrequency (%)
*5432
72.4%
2174
 
2.3%
3174
 
2.3%
1141
 
1.9%
4122
 
1.6%
098
 
1.3%
587
 
1.2%
666
 
0.9%
754
 
0.7%
1144
 
0.6%
Other values (364)1108
 
14.8%

Length

2022-11-06T21:11:42.024896image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
2174
 
2.3%
3174
 
2.3%
1141
 
1.9%
4122
 
1.6%
098
 
1.3%
587
 
1.2%
666
 
0.9%
754
 
0.7%
1144
 
0.6%
Other values (364)1108
 
14.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_60YMAS
Categorical

HIGH CARDINALITY

Distinct324
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size426.3 KiB
*
5432 
1
 
212
2
 
179
0
 
175
4
 
116
Other values (319)
1386 

Length

Max length6
Median length1
Mean length1.188
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)2.5%

Sample

1st row358404
2nd row2721
3rd row874
4th row470
5th row318

Common Values

ValueCountFrequency (%)
*5432
72.4%
1212
 
2.8%
2179
 
2.4%
0175
 
2.3%
4116
 
1.5%
3111
 
1.5%
670
 
0.9%
564
 
0.9%
847
 
0.6%
740
 
0.5%
Other values (314)1054
 
14.1%

Length

2022-11-06T21:11:42.194893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1212
 
2.8%
2179
 
2.4%
0175
 
2.3%
4116
 
1.5%
3111
 
1.5%
670
 
0.9%
564
 
0.9%
847
 
0.6%
740
 
0.5%
Other values (314)1054
 
14.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_60YMAS_F
Categorical

HIGH CARDINALITY

Distinct245
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
432
1
 
293
2
 
157
3
 
110
Other values (240)
1076 

Length

Max length6
Median length1
Mean length1.137466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)2.0%

Sample

1st row188135
2nd row866
3rd row339
4th row223
5th row150

Common Values

ValueCountFrequency (%)
*5432
72.4%
0432
 
5.8%
1293
 
3.9%
2157
 
2.1%
3110
 
1.5%
472
 
1.0%
558
 
0.8%
650
 
0.7%
746
 
0.6%
840
 
0.5%
Other values (235)810
 
10.8%

Length

2022-11-06T21:11:42.348892image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0432
 
5.8%
1293
 
3.9%
2157
 
2.1%
3110
 
1.5%
472
 
1.0%
558
 
0.8%
650
 
0.7%
746
 
0.6%
840
 
0.5%
Other values (235)810
 
10.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_60YMAS_M
Categorical

HIGH CARDINALITY

Distinct246
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size426.0 KiB
*
5432 
1
 
304
0
 
237
2
 
227
3
 
126
Other values (241)
1174 

Length

Max length6
Median length1
Mean length1.151466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)1.9%

Sample

1st row170269
2nd row1855
3rd row535
4th row247
5th row168

Common Values

ValueCountFrequency (%)
*5432
72.4%
1304
 
4.1%
0237
 
3.2%
2227
 
3.0%
3126
 
1.7%
494
 
1.3%
657
 
0.8%
547
 
0.6%
1041
 
0.5%
741
 
0.5%
Other values (236)894
 
11.9%

Length

2022-11-06T21:11:42.515893image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1304
 
4.1%
0237
 
3.2%
2227
 
3.0%
3126
 
1.7%
494
 
1.3%
657
 
0.8%
547
 
0.6%
1041
 
0.5%
741
 
0.5%
Other values (236)894
 
11.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

REL_H_M
Categorical

HIGH CARDINALITY

Distinct947
Distinct (%)12.7%
Missing25
Missing (%)0.3%
Memory size431.9 KiB
*
5432 
100
 
136
200
 
51
150
 
49
133.33
 
43
Other values (942)
1764 

Length

Max length6
Median length1
Mean length2.047892977
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique726 ?
Unique (%)9.7%

Sample

1st row99.97
2nd row217.53
3rd row136.06
4th row108.88
5th row110.19

Common Values

ValueCountFrequency (%)
*5432
72.4%
100136
 
1.8%
20051
 
0.7%
15049
 
0.7%
133.3343
 
0.6%
12537
 
0.5%
30034
 
0.5%
N/D31
 
0.4%
166.6728
 
0.4%
12026
 
0.3%
Other values (937)1608
 
21.4%
(Missing)25
 
0.3%

Length

2022-11-06T21:11:42.682234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.7%
100136
 
1.8%
20051
 
0.7%
15049
 
0.7%
133.3343
 
0.6%
12537
 
0.5%
30034
 
0.5%
n/d31
 
0.4%
166.6728
 
0.4%
12026
 
0.3%
Other values (937)1608
 
21.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POB0_14
Categorical

HIGH CARDINALITY

Distinct393
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
0
 
180
2
 
126
1
 
122
5
 
111
Other values (388)
1529 

Length

Max length6
Median length1
Mean length1.220666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)3.0%

Sample

1st row723847
2nd row2349
3rd row1015
4th row589
5th row359

Common Values

ValueCountFrequency (%)
*5432
72.4%
0180
 
2.4%
2126
 
1.7%
1122
 
1.6%
5111
 
1.5%
3110
 
1.5%
4103
 
1.4%
665
 
0.9%
858
 
0.8%
1044
 
0.6%
Other values (383)1149
 
15.3%

Length

2022-11-06T21:11:42.869236image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0180
 
2.4%
2126
 
1.7%
1122
 
1.6%
5111
 
1.5%
3110
 
1.5%
4103
 
1.4%
665
 
0.9%
858
 
0.8%
1044
 
0.6%
Other values (383)1149
 
15.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POB15_64
Categorical

HIGH CARDINALITY

Distinct573
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size427.3 KiB
*
5432 
6
 
110
9
 
82
8
 
79
7
 
70
Other values (568)
1727 

Length

Max length7
Median length1
Mean length1.3248
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique353 ?
Unique (%)4.7%

Sample

1st row1981467
2nd row12513
3rd row3161
4th row1624
5th row1051

Common Values

ValueCountFrequency (%)
*5432
72.4%
6110
 
1.5%
982
 
1.1%
879
 
1.1%
770
 
0.9%
562
 
0.8%
453
 
0.7%
1247
 
0.6%
1045
 
0.6%
343
 
0.6%
Other values (563)1477
 
19.7%

Length

2022-11-06T21:11:43.046234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
6110
 
1.5%
982
 
1.1%
879
 
1.1%
770
 
0.9%
562
 
0.8%
453
 
0.7%
1247
 
0.6%
1045
 
0.6%
343
 
0.6%
Other values (563)1477
 
19.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POB65_MAS
Categorical

HIGH CARDINALITY

Distinct277
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
0
 
304
1
 
233
2
 
175
3
 
107
Other values (272)
1249 

Length

Max length6
Median length1
Mean length1.166133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)2.1%

Sample

1st row236801
2nd row1855
3rd row597
4th row350
5th row240

Common Values

ValueCountFrequency (%)
*5432
72.4%
0304
 
4.1%
1233
 
3.1%
2175
 
2.3%
3107
 
1.4%
492
 
1.2%
561
 
0.8%
661
 
0.8%
839
 
0.5%
738
 
0.5%
Other values (267)958
 
12.8%

Length

2022-11-06T21:11:43.224232image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0304
 
4.1%
1233
 
3.1%
2175
 
2.3%
3107
 
1.4%
492
 
1.2%
561
 
0.8%
661
 
0.8%
839
 
0.5%
738
 
0.5%
Other values (267)958
 
12.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_0A4
Categorical

HIGH CARDINALITY

Distinct236
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
390
1
 
283
2
 
196
3
 
121
Other values (231)
1078 

Length

Max length6
Median length1
Mean length1.136533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)1.8%

Sample

1st row218345
2nd row804
3rd row346
4th row174
5th row103

Common Values

ValueCountFrequency (%)
*5432
72.4%
0390
 
5.2%
1283
 
3.8%
2196
 
2.6%
3121
 
1.6%
497
 
1.3%
656
 
0.7%
552
 
0.7%
841
 
0.5%
736
 
0.5%
Other values (226)796
 
10.6%

Length

2022-11-06T21:11:43.542236image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0390
 
5.2%
1283
 
3.8%
2196
 
2.6%
3121
 
1.6%
497
 
1.3%
656
 
0.7%
552
 
0.7%
841
 
0.5%
736
 
0.5%
Other values (226)796
 
10.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_0A4_F
Categorical

HIGH CARDINALITY

Distinct182
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
606 
1
 
328
2
 
173
3
 
107
Other values (177)
854 

Length

Max length6
Median length1
Mean length1.100933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)1.4%

Sample

1st row107741
2nd row372
3rd row180
4th row83
5th row49

Common Values

ValueCountFrequency (%)
*5432
72.4%
0606
 
8.1%
1328
 
4.4%
2173
 
2.3%
3107
 
1.4%
472
 
1.0%
558
 
0.8%
644
 
0.6%
839
 
0.5%
1039
 
0.5%
Other values (172)602
 
8.0%

Length

2022-11-06T21:11:43.713232image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0606
 
8.1%
1328
 
4.4%
2173
 
2.3%
3107
 
1.4%
472
 
1.0%
558
 
0.8%
644
 
0.6%
1039
 
0.5%
839
 
0.5%
Other values (172)602
 
8.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_0A4_M
Categorical

HIGH CARDINALITY

Distinct183
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
601 
1
 
327
2
 
177
3
 
107
Other values (178)
856 

Length

Max length6
Median length1
Mean length1.1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)1.4%

Sample

1st row110604
2nd row432
3rd row166
4th row91
5th row54

Common Values

ValueCountFrequency (%)
*5432
72.4%
0601
 
8.0%
1327
 
4.4%
2177
 
2.4%
3107
 
1.4%
474
 
1.0%
653
 
0.7%
546
 
0.6%
743
 
0.6%
935
 
0.5%
Other values (173)605
 
8.1%

Length

2022-11-06T21:11:43.890233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0601
 
8.0%
1327
 
4.4%
2177
 
2.4%
3107
 
1.4%
474
 
1.0%
653
 
0.7%
546
 
0.6%
743
 
0.6%
935
 
0.5%
Other values (173)605
 
8.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_5A9
Categorical

HIGH CARDINALITY

Distinct245
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
423
1
 
263
2
 
169
3
 
127
Other values (240)
1086 

Length

Max length6
Median length1
Mean length1.138933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)1.8%

Sample

1st row246711
2nd row721
3rd row351
4th row190
5th row115

Common Values

ValueCountFrequency (%)
*5432
72.4%
0423
 
5.6%
1263
 
3.5%
2169
 
2.3%
3127
 
1.7%
489
 
1.2%
568
 
0.9%
643
 
0.6%
839
 
0.5%
738
 
0.5%
Other values (235)809
 
10.8%

Length

2022-11-06T21:11:44.084237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0423
 
5.6%
1263
 
3.5%
2169
 
2.3%
3127
 
1.7%
489
 
1.2%
568
 
0.9%
643
 
0.6%
839
 
0.5%
738
 
0.5%
Other values (235)809
 
10.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_5A9_F
Categorical

HIGH CARDINALITY

Distinct188
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
622 
1
 
306
2
 
177
3
 
96
Other values (183)
867 

Length

Max length6
Median length1
Mean length1.1004
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)1.6%

Sample

1st row121509
2nd row367
3rd row176
4th row88
5th row48

Common Values

ValueCountFrequency (%)
*5432
72.4%
0622
 
8.3%
1306
 
4.1%
2177
 
2.4%
396
 
1.3%
481
 
1.1%
653
 
0.7%
549
 
0.7%
740
 
0.5%
939
 
0.5%
Other values (178)605
 
8.1%

Length

2022-11-06T21:11:44.264233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0622
 
8.3%
1306
 
4.1%
2177
 
2.4%
396
 
1.3%
481
 
1.1%
653
 
0.7%
549
 
0.7%
740
 
0.5%
939
 
0.5%
Other values (178)605
 
8.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_5A9_M
Categorical

HIGH CARDINALITY

Distinct189
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
620 
1
 
306
2
 
166
3
 
116
Other values (184)
860 

Length

Max length6
Median length1
Mean length1.1024
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)1.5%

Sample

1st row125202
2nd row354
3rd row175
4th row102
5th row67

Common Values

ValueCountFrequency (%)
*5432
72.4%
0620
 
8.3%
1306
 
4.1%
2166
 
2.2%
3116
 
1.5%
462
 
0.8%
557
 
0.8%
643
 
0.6%
738
 
0.5%
838
 
0.5%
Other values (179)622
 
8.3%

Length

2022-11-06T21:11:44.437233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0620
 
8.3%
1306
 
4.1%
2166
 
2.2%
3116
 
1.5%
462
 
0.8%
557
 
0.8%
643
 
0.6%
838
 
0.5%
738
 
0.5%
Other values (179)622
 
8.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_10A14
Categorical

HIGH CARDINALITY

Distinct256
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size426.0 KiB
*
5432 
0
 
403
1
 
252
2
 
197
3
 
109
Other values (251)
1107 

Length

Max length6
Median length1
Mean length1.145333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)2.0%

Sample

1st row258791
2nd row824
3rd row318
4th row225
5th row141

Common Values

ValueCountFrequency (%)
*5432
72.4%
0403
 
5.4%
1252
 
3.4%
2197
 
2.6%
3109
 
1.5%
488
 
1.2%
555
 
0.7%
645
 
0.6%
742
 
0.6%
1237
 
0.5%
Other values (246)840
 
11.2%

Length

2022-11-06T21:11:44.596237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0403
 
5.4%
1252
 
3.4%
2197
 
2.6%
3109
 
1.5%
488
 
1.2%
555
 
0.7%
645
 
0.6%
742
 
0.6%
1237
 
0.5%
Other values (246)840
 
11.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_10A14_F
Categorical

HIGH CARDINALITY

Distinct194
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
617 
1
 
300
2
 
171
3
 
104
Other values (189)
876 

Length

Max length6
Median length1
Mean length1.1032
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)1.6%

Sample

1st row126600
2nd row386
3rd row158
4th row104
5th row61

Common Values

ValueCountFrequency (%)
*5432
72.4%
0617
 
8.2%
1300
 
4.0%
2171
 
2.3%
3104
 
1.4%
475
 
1.0%
557
 
0.8%
650
 
0.7%
738
 
0.5%
834
 
0.5%
Other values (184)622
 
8.3%

Length

2022-11-06T21:11:44.776233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0617
 
8.2%
1300
 
4.0%
2171
 
2.3%
3104
 
1.4%
475
 
1.0%
557
 
0.8%
650
 
0.7%
738
 
0.5%
834
 
0.5%
Other values (184)622
 
8.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_10A14_M
Categorical

HIGH CARDINALITY

Distinct194
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
600 
1
 
290
2
 
154
3
 
113
Other values (189)
911 

Length

Max length6
Median length1
Mean length1.1056
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)1.6%

Sample

1st row132191
2nd row438
3rd row160
4th row121
5th row80

Common Values

ValueCountFrequency (%)
*5432
72.4%
0600
 
8.0%
1290
 
3.9%
2154
 
2.1%
3113
 
1.5%
572
 
1.0%
458
 
0.8%
655
 
0.7%
943
 
0.6%
838
 
0.5%
Other values (184)645
 
8.6%

Length

2022-11-06T21:11:44.961262image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0600
 
8.0%
1290
 
3.9%
2154
 
2.1%
3113
 
1.5%
572
 
1.0%
458
 
0.8%
655
 
0.7%
943
 
0.6%
738
 
0.5%
Other values (184)645
 
8.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15A19
Categorical

HIGH CARDINALITY

Distinct249
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size426.0 KiB
*
5432 
0
 
405
1
 
290
2
 
163
3
 
113
Other values (244)
1097 

Length

Max length6
Median length1
Mean length1.1428
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)1.9%

Sample

1st row255716
2nd row1140
3rd row365
4th row212
5th row119

Common Values

ValueCountFrequency (%)
*5432
72.4%
0405
 
5.4%
1290
 
3.9%
2163
 
2.2%
3113
 
1.5%
483
 
1.1%
656
 
0.7%
745
 
0.6%
543
 
0.6%
836
 
0.5%
Other values (239)834
 
11.1%

Length

2022-11-06T21:11:45.173237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0405
 
5.4%
1290
 
3.9%
2163
 
2.2%
3113
 
1.5%
483
 
1.1%
656
 
0.7%
745
 
0.6%
543
 
0.6%
836
 
0.5%
Other values (239)834
 
11.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15A19_F
Categorical

HIGH CARDINALITY

Distinct183
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
636 
1
 
314
2
 
152
3
 
96
Other values (178)
870 

Length

Max length6
Median length1
Mean length1.101466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)1.4%

Sample

1st row124961
2nd row393
3rd row168
4th row105
5th row63

Common Values

ValueCountFrequency (%)
*5432
72.4%
0636
 
8.5%
1314
 
4.2%
2152
 
2.0%
396
 
1.3%
576
 
1.0%
466
 
0.9%
644
 
0.6%
936
 
0.5%
734
 
0.5%
Other values (173)614
 
8.2%

Length

2022-11-06T21:11:45.333234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0636
 
8.5%
1314
 
4.2%
2152
 
2.0%
396
 
1.3%
576
 
1.0%
466
 
0.9%
644
 
0.6%
936
 
0.5%
734
 
0.5%
Other values (173)614
 
8.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_15A19_M
Categorical

HIGH CARDINALITY

Distinct194
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
603 
1
 
285
2
 
173
3
 
103
Other values (189)
904 

Length

Max length6
Median length1
Mean length1.106933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)1.6%

Sample

1st row130755
2nd row747
3rd row197
4th row107
5th row56

Common Values

ValueCountFrequency (%)
*5432
72.4%
0603
 
8.0%
1285
 
3.8%
2173
 
2.3%
3103
 
1.4%
463
 
0.8%
561
 
0.8%
656
 
0.7%
741
 
0.5%
938
 
0.5%
Other values (184)645
 
8.6%

Length

2022-11-06T21:11:45.494237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0603
 
8.0%
1285
 
3.8%
2173
 
2.3%
3103
 
1.4%
463
 
0.8%
561
 
0.8%
656
 
0.7%
741
 
0.5%
938
 
0.5%
Other values (184)645
 
8.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_20A24
Categorical

HIGH CARDINALITY

Distinct233
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
406
1
 
303
2
 
195
3
 
140
Other values (228)
1024 

Length

Max length6
Median length1
Mean length1.1324
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)1.7%

Sample

1st row247003
2nd row1669
3rd row360
4th row172
5th row105

Common Values

ValueCountFrequency (%)
*5432
72.4%
0406
 
5.4%
1303
 
4.0%
2195
 
2.6%
3140
 
1.9%
474
 
1.0%
559
 
0.8%
939
 
0.5%
639
 
0.5%
1036
 
0.5%
Other values (223)777
 
10.4%

Length

2022-11-06T21:11:45.659233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0406
 
5.4%
1303
 
4.0%
2195
 
2.6%
3140
 
1.9%
474
 
1.0%
559
 
0.8%
939
 
0.5%
639
 
0.5%
1036
 
0.5%
Other values (223)777
 
10.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_20A24_F
Categorical

HIGH CARDINALITY

Distinct169
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
656 
1
 
342
2
 
181
3
 
96
Other values (164)
793 

Length

Max length6
Median length1
Mean length1.092133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)1.2%

Sample

1st row121417
2nd row500
3rd row142
4th row72
5th row44

Common Values

ValueCountFrequency (%)
*5432
72.4%
0656
 
8.7%
1342
 
4.6%
2181
 
2.4%
396
 
1.3%
464
 
0.9%
655
 
0.7%
551
 
0.7%
836
 
0.5%
735
 
0.5%
Other values (159)552
 
7.4%

Length

2022-11-06T21:11:45.847233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0656
 
8.7%
1342
 
4.6%
2181
 
2.4%
396
 
1.3%
464
 
0.9%
655
 
0.7%
551
 
0.7%
836
 
0.5%
735
 
0.5%
Other values (159)552
 
7.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_20A24_M
Categorical

HIGH CARDINALITY

Distinct184
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
602 
1
 
339
2
 
171
3
 
92
Other values (179)
864 

Length

Max length6
Median length1
Mean length1.0992
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)1.4%

Sample

1st row125586
2nd row1169
3rd row218
4th row100
5th row61

Common Values

ValueCountFrequency (%)
*5432
72.4%
0602
 
8.0%
1339
 
4.5%
2171
 
2.3%
392
 
1.2%
475
 
1.0%
566
 
0.9%
744
 
0.6%
842
 
0.6%
642
 
0.6%
Other values (174)595
 
7.9%

Length

2022-11-06T21:11:46.049233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0602
 
8.0%
1339
 
4.5%
2171
 
2.3%
392
 
1.2%
475
 
1.0%
566
 
0.9%
744
 
0.6%
842
 
0.6%
642
 
0.6%
Other values (174)595
 
7.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_25A29
Categorical

HIGH CARDINALITY

Distinct225
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
431
1
 
289
2
 
200
3
 
115
Other values (220)
1033 

Length

Max length6
Median length1
Mean length1.1252
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)1.7%

Sample

1st row227896
2nd row1564
3rd row382
4th row165
5th row105

Common Values

ValueCountFrequency (%)
*5432
72.4%
0431
 
5.7%
1289
 
3.9%
2200
 
2.7%
3115
 
1.5%
498
 
1.3%
564
 
0.9%
645
 
0.6%
743
 
0.6%
938
 
0.5%
Other values (215)745
 
9.9%

Length

2022-11-06T21:11:46.217237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0431
 
5.7%
1289
 
3.9%
2200
 
2.7%
3115
 
1.5%
498
 
1.3%
564
 
0.9%
645
 
0.6%
743
 
0.6%
938
 
0.5%
Other values (215)745
 
9.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_25A29_F
Categorical

HIGH CARDINALITY

Distinct169
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
663 
1
 
343
2
 
183
3
 
98
Other values (164)
781 

Length

Max length6
Median length1
Mean length1.090666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.4%

Sample

1st row113744
2nd row369
3rd row137
4th row76
5th row51

Common Values

ValueCountFrequency (%)
*5432
72.4%
0663
 
8.8%
1343
 
4.6%
2183
 
2.4%
398
 
1.3%
472
 
1.0%
559
 
0.8%
645
 
0.6%
739
 
0.5%
1033
 
0.4%
Other values (159)533
 
7.1%

Length

2022-11-06T21:11:46.395259image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0663
 
8.8%
1343
 
4.6%
2183
 
2.4%
398
 
1.3%
472
 
1.0%
559
 
0.8%
645
 
0.6%
739
 
0.5%
1033
 
0.4%
Other values (159)533
 
7.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_25A29_M
Categorical

HIGH CARDINALITY

Distinct178
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
595 
1
 
363
2
 
190
3
 
112
Other values (173)
808 

Length

Max length6
Median length1
Mean length1.0936
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.4%

Sample

1st row114152
2nd row1195
3rd row245
4th row89
5th row54

Common Values

ValueCountFrequency (%)
*5432
72.4%
0595
 
7.9%
1363
 
4.8%
2190
 
2.5%
3112
 
1.5%
467
 
0.9%
552
 
0.7%
650
 
0.7%
842
 
0.6%
936
 
0.5%
Other values (168)561
 
7.5%

Length

2022-11-06T21:11:46.568232image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0595
 
7.9%
1363
 
4.8%
2190
 
2.5%
3112
 
1.5%
467
 
0.9%
552
 
0.7%
650
 
0.7%
842
 
0.6%
936
 
0.5%
Other values (168)561
 
7.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_30A34
Categorical

HIGH CARDINALITY

Distinct223
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
443
1
 
306
2
 
197
3
 
119
Other values (218)
1003 

Length

Max length6
Median length1
Mean length1.122266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique135 ?
Unique (%)1.8%

Sample

1st row215004
2nd row1429
3rd row308
4th row154
5th row99

Common Values

ValueCountFrequency (%)
*5432
72.4%
0443
 
5.9%
1306
 
4.1%
2197
 
2.6%
3119
 
1.6%
480
 
1.1%
566
 
0.9%
655
 
0.7%
740
 
0.5%
839
 
0.5%
Other values (213)723
 
9.6%

Length

2022-11-06T21:11:46.747247image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0443
 
5.9%
1306
 
4.1%
2197
 
2.6%
3119
 
1.6%
480
 
1.1%
566
 
0.9%
655
 
0.7%
740
 
0.5%
839
 
0.5%
Other values (213)723
 
9.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_30A34_F
Categorical

HIGH CARDINALITY

Distinct164
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
682 
1
 
376
2
 
145
3
 
100
Other values (159)
765 

Length

Max length6
Median length1
Mean length1.087466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)1.3%

Sample

1st row107549
2nd row332
3rd row124
4th row82
5th row53

Common Values

ValueCountFrequency (%)
*5432
72.4%
0682
 
9.1%
1376
 
5.0%
2145
 
1.9%
3100
 
1.3%
476
 
1.0%
556
 
0.7%
936
 
0.5%
836
 
0.5%
635
 
0.5%
Other values (154)526
 
7.0%

Length

2022-11-06T21:11:46.981234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0682
 
9.1%
1376
 
5.0%
2145
 
1.9%
3100
 
1.3%
476
 
1.0%
556
 
0.7%
936
 
0.5%
836
 
0.5%
635
 
0.5%
Other values (154)526
 
7.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_30A34_M
Categorical

HIGH CARDINALITY

Distinct173
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
619 
1
 
353
2
 
176
3
 
118
Other values (168)
802 

Length

Max length6
Median length1
Mean length1.089866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)1.5%

Sample

1st row107455
2nd row1097
3rd row184
4th row72
5th row46

Common Values

ValueCountFrequency (%)
*5432
72.4%
0619
 
8.3%
1353
 
4.7%
2176
 
2.3%
3118
 
1.6%
472
 
1.0%
553
 
0.7%
651
 
0.7%
743
 
0.6%
937
 
0.5%
Other values (163)546
 
7.3%

Length

2022-11-06T21:11:47.208234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0619
 
8.3%
1353
 
4.7%
2176
 
2.3%
3118
 
1.6%
472
 
1.0%
553
 
0.7%
651
 
0.7%
743
 
0.6%
937
 
0.5%
Other values (163)546
 
7.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_35A39
Categorical

HIGH CARDINALITY

Distinct218
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
427
1
 
329
2
 
182
3
 
131
Other values (213)
999 

Length

Max length6
Median length1
Mean length1.1232
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique120 ?
Unique (%)1.6%

Sample

1st row207000
2nd row1333
3rd row306
4th row147
5th row91

Common Values

ValueCountFrequency (%)
*5432
72.4%
0427
 
5.7%
1329
 
4.4%
2182
 
2.4%
3131
 
1.7%
469
 
0.9%
559
 
0.8%
651
 
0.7%
747
 
0.6%
840
 
0.5%
Other values (208)733
 
9.8%

Length

2022-11-06T21:11:47.376233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0427
 
5.7%
1329
 
4.4%
2182
 
2.4%
3131
 
1.7%
469
 
0.9%
559
 
0.8%
651
 
0.7%
747
 
0.6%
840
 
0.5%
Other values (208)733
 
9.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_35A39_F
Categorical

HIGH CARDINALITY

Distinct164
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
688 
1
 
360
2
 
153
3
 
88
Other values (159)
779 

Length

Max length6
Median length1
Mean length1.088533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)1.3%

Sample

1st row103161
2nd row337
3rd row117
4th row76
5th row46

Common Values

ValueCountFrequency (%)
*5432
72.4%
0688
 
9.2%
1360
 
4.8%
2153
 
2.0%
388
 
1.2%
486
 
1.1%
558
 
0.8%
644
 
0.6%
733
 
0.4%
831
 
0.4%
Other values (154)527
 
7.0%

Length

2022-11-06T21:11:47.534237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0688
 
9.2%
1360
 
4.8%
2153
 
2.0%
388
 
1.2%
486
 
1.1%
558
 
0.8%
644
 
0.6%
733
 
0.4%
831
 
0.4%
Other values (154)527
 
7.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_35A39_M
Categorical

HIGH CARDINALITY

Distinct176
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
605 
1
 
362
2
 
176
3
 
108
Other values (171)
817 

Length

Max length6
Median length1
Mean length1.090533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)1.5%

Sample

1st row103839
2nd row996
3rd row189
4th row71
5th row45

Common Values

ValueCountFrequency (%)
*5432
72.4%
0605
 
8.1%
1362
 
4.8%
2176
 
2.3%
3108
 
1.4%
475
 
1.0%
559
 
0.8%
753
 
0.7%
644
 
0.6%
836
 
0.5%
Other values (166)550
 
7.3%

Length

2022-11-06T21:11:47.716238image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0605
 
8.1%
1362
 
4.8%
2176
 
2.3%
3108
 
1.4%
475
 
1.0%
559
 
0.8%
753
 
0.7%
644
 
0.6%
836
 
0.5%
Other values (166)550
 
7.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_40A44
Categorical

HIGH CARDINALITY

Distinct224
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
396
1
 
316
2
 
195
3
 
120
Other values (219)
1041 

Length

Max length6
Median length1
Mean length1.1268
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)1.7%

Sample

1st row203895
2nd row1289
3rd row293
4th row185
5th row126

Common Values

ValueCountFrequency (%)
*5432
72.4%
0396
 
5.3%
1316
 
4.2%
2195
 
2.6%
3120
 
1.6%
491
 
1.2%
564
 
0.9%
648
 
0.6%
741
 
0.5%
837
 
0.5%
Other values (214)760
 
10.1%

Length

2022-11-06T21:11:47.881236image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0396
 
5.3%
1316
 
4.2%
2195
 
2.6%
3120
 
1.6%
491
 
1.2%
564
 
0.9%
648
 
0.6%
741
 
0.5%
837
 
0.5%
Other values (214)760
 
10.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_40A44_F
Categorical

HIGH CARDINALITY

Distinct165
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
671 
1
 
336
2
 
197
4
 
78
Other values (160)
786 

Length

Max length6
Median length1
Mean length1.087733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)1.3%

Sample

1st row102318
2nd row337
3rd row121
4th row91
5th row59

Common Values

ValueCountFrequency (%)
*5432
72.4%
0671
 
8.9%
1336
 
4.5%
2197
 
2.6%
478
 
1.0%
368
 
0.9%
553
 
0.7%
652
 
0.7%
745
 
0.6%
844
 
0.6%
Other values (155)524
 
7.0%

Length

2022-11-06T21:11:48.058235image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0671
 
8.9%
1336
 
4.5%
2197
 
2.6%
478
 
1.0%
368
 
0.9%
553
 
0.7%
652
 
0.7%
745
 
0.6%
844
 
0.6%
Other values (155)524
 
7.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_40A44_M
Categorical

HIGH CARDINALITY

Distinct178
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
552 
1
 
375
2
 
186
3
 
113
Other values (173)
842 

Length

Max length6
Median length1
Mean length1.093333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)1.5%

Sample

1st row101577
2nd row952
3rd row172
4th row94
5th row67

Common Values

ValueCountFrequency (%)
*5432
72.4%
0552
 
7.4%
1375
 
5.0%
2186
 
2.5%
3113
 
1.5%
471
 
0.9%
564
 
0.9%
658
 
0.8%
941
 
0.5%
738
 
0.5%
Other values (168)570
 
7.6%

Length

2022-11-06T21:11:48.255232image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0552
 
7.4%
1375
 
5.0%
2186
 
2.5%
3113
 
1.5%
471
 
0.9%
564
 
0.9%
658
 
0.8%
941
 
0.5%
738
 
0.5%
Other values (168)570
 
7.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_45A49
Categorical

HIGH CARDINALITY

Distinct225
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
408
1
 
305
2
 
190
3
 
142
Other values (220)
1023 

Length

Max length6
Median length1
Mean length1.122666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)1.8%

Sample

1st row192181
2nd row1206
3rd row270
4th row180
5th row130

Common Values

ValueCountFrequency (%)
*5432
72.4%
0408
 
5.4%
1305
 
4.1%
2190
 
2.5%
3142
 
1.9%
497
 
1.3%
564
 
0.9%
646
 
0.6%
943
 
0.6%
740
 
0.5%
Other values (215)733
 
9.8%

Length

2022-11-06T21:11:48.571235image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0408
 
5.4%
1305
 
4.1%
2190
 
2.5%
3142
 
1.9%
497
 
1.3%
564
 
0.9%
646
 
0.6%
943
 
0.6%
740
 
0.5%
Other values (215)733
 
9.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_45A49_F
Categorical

HIGH CARDINALITY

Distinct163
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
682 
1
 
347
2
 
183
3
 
108
Other values (158)
748 

Length

Max length5
Median length1
Mean length1.085733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)1.4%

Sample

1st row95907
2nd row332
3rd row100
4th row85
5th row63

Common Values

ValueCountFrequency (%)
*5432
72.4%
0682
 
9.1%
1347
 
4.6%
2183
 
2.4%
3108
 
1.4%
562
 
0.8%
458
 
0.8%
652
 
0.7%
738
 
0.5%
N/D31
 
0.4%
Other values (153)507
 
6.8%

Length

2022-11-06T21:11:48.742234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0682
 
9.1%
1347
 
4.6%
2183
 
2.4%
3108
 
1.4%
562
 
0.8%
458
 
0.8%
652
 
0.7%
738
 
0.5%
n/d31
 
0.4%
Other values (153)507
 
6.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_45A49_M
Categorical

HIGH CARDINALITY

Distinct176
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
567 
1
 
362
2
 
204
3
 
97
Other values (171)
838 

Length

Max length5
Median length1
Mean length1.091866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.4%

Sample

1st row96274
2nd row874
3rd row170
4th row95
5th row67

Common Values

ValueCountFrequency (%)
*5432
72.4%
0567
 
7.6%
1362
 
4.8%
2204
 
2.7%
397
 
1.3%
480
 
1.1%
571
 
0.9%
849
 
0.7%
744
 
0.6%
642
 
0.6%
Other values (166)552
 
7.4%

Length

2022-11-06T21:11:48.946233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0567
 
7.6%
1362
 
4.8%
2204
 
2.7%
397
 
1.3%
480
 
1.1%
571
 
0.9%
849
 
0.7%
744
 
0.6%
642
 
0.6%
Other values (166)552
 
7.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_50A54
Categorical

HIGH CARDINALITY

Distinct217
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
399
1
 
343
2
 
203
3
 
128
Other values (212)
995 

Length

Max length6
Median length1
Mean length1.1208
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)1.8%

Sample

1st row170705
2nd row1107
3rd row281
4th row160
5th row106

Common Values

ValueCountFrequency (%)
*5432
72.4%
0399
 
5.3%
1343
 
4.6%
2203
 
2.7%
3128
 
1.7%
478
 
1.0%
658
 
0.8%
553
 
0.7%
840
 
0.5%
934
 
0.5%
Other values (207)732
 
9.8%

Length

2022-11-06T21:11:49.245235image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0399
 
5.3%
1343
 
4.6%
2203
 
2.7%
3128
 
1.7%
478
 
1.0%
658
 
0.8%
553
 
0.7%
840
 
0.5%
934
 
0.5%
Other values (207)732
 
9.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_50A54_F
Categorical

HIGH CARDINALITY

Distinct167
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
697 
1
 
346
2
 
173
3
 
106
Other values (162)
746 

Length

Max length5
Median length1
Mean length1.082533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.4%

Sample

1st row86583
2nd row342
3rd row118
4th row74
5th row48

Common Values

ValueCountFrequency (%)
*5432
72.4%
0697
 
9.3%
1346
 
4.6%
2173
 
2.3%
3106
 
1.4%
464
 
0.9%
558
 
0.8%
654
 
0.7%
739
 
0.5%
837
 
0.5%
Other values (157)494
 
6.6%

Length

2022-11-06T21:11:49.467233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0697
 
9.3%
1346
 
4.6%
2173
 
2.3%
3106
 
1.4%
464
 
0.9%
558
 
0.8%
654
 
0.7%
739
 
0.5%
837
 
0.5%
Other values (157)494
 
6.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_50A54_M
Categorical

HIGH CARDINALITY

Distinct168
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
575 
1
 
384
2
 
178
3
 
118
Other values (163)
813 

Length

Max length5
Median length1
Mean length1.0864
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.4%

Sample

1st row84122
2nd row765
3rd row163
4th row86
5th row58

Common Values

ValueCountFrequency (%)
*5432
72.4%
0575
 
7.7%
1384
 
5.1%
2178
 
2.4%
3118
 
1.6%
574
 
1.0%
464
 
0.9%
759
 
0.8%
652
 
0.7%
840
 
0.5%
Other values (158)524
 
7.0%

Length

2022-11-06T21:11:49.675234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0575
 
7.7%
1384
 
5.1%
2178
 
2.4%
3118
 
1.6%
574
 
1.0%
464
 
0.9%
759
 
0.8%
652
 
0.7%
840
 
0.5%
Other values (158)524
 
7.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_55A59
Categorical

HIGH CARDINALITY

Distinct201
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
440
1
 
320
2
 
200
3
 
130
Other values (196)
978 

Length

Max length6
Median length1
Mean length1.113733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)1.5%

Sample

1st row140464
2nd row910
3rd row319
4th row129
5th row92

Common Values

ValueCountFrequency (%)
*5432
72.4%
0440
 
5.9%
1320
 
4.3%
2200
 
2.7%
3130
 
1.7%
483
 
1.1%
560
 
0.8%
650
 
0.7%
845
 
0.6%
740
 
0.5%
Other values (191)700
 
9.3%

Length

2022-11-06T21:11:49.874238image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0440
 
5.9%
1320
 
4.3%
2200
 
2.7%
3130
 
1.7%
483
 
1.1%
560
 
0.8%
650
 
0.7%
845
 
0.6%
740
 
0.5%
Other values (191)700
 
9.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_55A59_F
Categorical

HIGH CARDINALITY

Distinct158
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
735 
1
 
328
2
 
168
3
 
107
Other values (153)
730 

Length

Max length5
Median length1
Mean length1.077466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)1.4%

Sample

1st row71657
2nd row299
3rd row119
4th row68
5th row50

Common Values

ValueCountFrequency (%)
*5432
72.4%
0735
 
9.8%
1328
 
4.4%
2168
 
2.2%
3107
 
1.4%
489
 
1.2%
562
 
0.8%
650
 
0.7%
740
 
0.5%
1032
 
0.4%
Other values (148)457
 
6.1%

Length

2022-11-06T21:11:50.148237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0735
 
9.8%
1328
 
4.4%
2168
 
2.2%
3107
 
1.4%
489
 
1.2%
562
 
0.8%
650
 
0.7%
740
 
0.5%
1032
 
0.4%
Other values (148)457
 
6.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_55A59_M
Categorical

HIGH CARDINALITY

Distinct160
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
597 
1
 
379
2
 
196
3
 
100
Other values (155)
796 

Length

Max length5
Median length1
Mean length1.081333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)1.4%

Sample

1st row68807
2nd row611
3rd row200
4th row61
5th row42

Common Values

ValueCountFrequency (%)
*5432
72.4%
0597
 
8.0%
1379
 
5.1%
2196
 
2.6%
3100
 
1.3%
487
 
1.2%
559
 
0.8%
657
 
0.8%
749
 
0.7%
848
 
0.6%
Other values (150)496
 
6.6%

Length

2022-11-06T21:11:50.386233image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0597
 
8.0%
1379
 
5.1%
2196
 
2.6%
3100
 
1.3%
487
 
1.2%
559
 
0.8%
657
 
0.8%
749
 
0.7%
848
 
0.6%
Other values (150)496
 
6.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_60A64
Categorical

HIGH CARDINALITY

Distinct198
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
 
490
1
 
326
2
 
184
3
 
99
Other values (193)
969 

Length

Max length6
Median length1
Mean length1.108
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique117 ?
Unique (%)1.6%

Sample

1st row121603
2nd row866
3rd row277
4th row120
5th row78

Common Values

ValueCountFrequency (%)
*5432
72.4%
0490
 
6.5%
1326
 
4.3%
2184
 
2.5%
399
 
1.3%
572
 
1.0%
470
 
0.9%
660
 
0.8%
753
 
0.7%
846
 
0.6%
Other values (188)668
 
8.9%

Length

2022-11-06T21:11:50.622237image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0490
 
6.5%
1326
 
4.3%
2184
 
2.5%
399
 
1.3%
572
 
1.0%
470
 
0.9%
660
 
0.8%
753
 
0.7%
846
 
0.6%
Other values (188)668
 
8.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_60A64_F
Categorical

HIGH CARDINALITY

Distinct147
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
776 
1
 
319
2
 
164
3
 
107
Other values (142)
702 

Length

Max length5
Median length1
Mean length1.072666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)1.2%

Sample

1st row62762
2nd row269
3rd row111
4th row61
5th row39

Common Values

ValueCountFrequency (%)
*5432
72.4%
0776
 
10.3%
1319
 
4.3%
2164
 
2.2%
3107
 
1.4%
478
 
1.0%
560
 
0.8%
649
 
0.7%
844
 
0.6%
740
 
0.5%
Other values (137)431
 
5.7%

Length

2022-11-06T21:11:50.853234image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0776
 
10.3%
1319
 
4.3%
2164
 
2.2%
3107
 
1.4%
478
 
1.0%
560
 
0.8%
649
 
0.7%
844
 
0.6%
740
 
0.5%
Other values (137)431
 
5.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_60A64_M
Categorical

HIGH CARDINALITY

Distinct152
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
644 
1
 
361
2
 
176
3
 
118
Other values (147)
769 

Length

Max length5
Median length1
Mean length1.0772
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)1.2%

Sample

1st row58841
2nd row597
3rd row166
4th row59
5th row39

Common Values

ValueCountFrequency (%)
*5432
72.4%
0644
 
8.6%
1361
 
4.8%
2176
 
2.3%
3118
 
1.6%
494
 
1.3%
564
 
0.9%
848
 
0.6%
743
 
0.6%
642
 
0.6%
Other values (142)478
 
6.4%

Length

2022-11-06T21:11:51.076236image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0644
 
8.6%
1361
 
4.8%
2176
 
2.3%
3118
 
1.6%
494
 
1.3%
564
 
0.9%
848
 
0.6%
743
 
0.6%
642
 
0.6%
Other values (142)478
 
6.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_65A69
Categorical

HIGH CARDINALITY

Distinct181
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
583 
1
 
311
2
 
171
3
 
94
Other values (176)
909 

Length

Max length5
Median length1
Mean length1.0992
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.4%

Sample

1st row87708
2nd row658
3rd row190
4th row125
5th row85

Common Values

ValueCountFrequency (%)
*5432
72.4%
0583
 
7.8%
1311
 
4.1%
2171
 
2.3%
394
 
1.3%
490
 
1.2%
661
 
0.8%
559
 
0.8%
745
 
0.6%
843
 
0.6%
Other values (171)611
 
8.1%

Length

2022-11-06T21:11:51.291235image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0583
 
7.8%
1311
 
4.1%
2171
 
2.3%
394
 
1.3%
490
 
1.2%
661
 
0.8%
559
 
0.8%
745
 
0.6%
843
 
0.6%
Other values (171)611
 
8.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_65A69_F
Categorical

HIGH CARDINALITY

Distinct136
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
867 
1
 
301
2
 
159
3
 
107
Other values (131)
634 

Length

Max length5
Median length1
Mean length1.063733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)1.1%

Sample

1st row45350
2nd row203
3rd row78
4th row60
5th row39

Common Values

ValueCountFrequency (%)
*5432
72.4%
0867
 
11.6%
1301
 
4.0%
2159
 
2.1%
3107
 
1.4%
466
 
0.9%
559
 
0.8%
656
 
0.7%
936
 
0.5%
N/D31
 
0.4%
Other values (126)386
 
5.1%

Length

2022-11-06T21:11:51.480236image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0867
 
11.6%
1301
 
4.0%
2159
 
2.1%
3107
 
1.4%
466
 
0.9%
559
 
0.8%
656
 
0.7%
936
 
0.5%
n/d31
 
0.4%
Other values (126)386
 
5.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_65A69_M
Categorical

HIGH CARDINALITY

Distinct140
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
704 
1
 
389
2
 
166
4
 
97
Other values (135)
712 

Length

Max length5
Median length1
Mean length1.0668
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)1.1%

Sample

1st row42358
2nd row455
3rd row112
4th row65
5th row46

Common Values

ValueCountFrequency (%)
*5432
72.4%
0704
 
9.4%
1389
 
5.2%
2166
 
2.2%
497
 
1.3%
391
 
1.2%
588
 
1.2%
841
 
0.5%
639
 
0.5%
938
 
0.5%
Other values (130)415
 
5.5%

Length

2022-11-06T21:11:51.667232image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0704
 
9.4%
1389
 
5.2%
2166
 
2.2%
497
 
1.3%
391
 
1.2%
588
 
1.2%
841
 
0.5%
639
 
0.5%
938
 
0.5%
Other values (130)415
 
5.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_70A74
Categorical

HIGH CARDINALITY

Distinct167
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
694 
1
 
283
2
 
183
3
 
108
Other values (162)
800 

Length

Max length5
Median length1
Mean length1.0852
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)1.4%

Sample

1st row61882
2nd row487
3rd row180
4th row78
5th row54

Common Values

ValueCountFrequency (%)
*5432
72.4%
0694
 
9.3%
1283
 
3.8%
2183
 
2.4%
3108
 
1.4%
477
 
1.0%
748
 
0.6%
947
 
0.6%
546
 
0.6%
644
 
0.6%
Other values (157)538
 
7.2%

Length

2022-11-06T21:11:51.846554image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0694
 
9.3%
1283
 
3.8%
2183
 
2.4%
3108
 
1.4%
477
 
1.0%
748
 
0.6%
947
 
0.6%
546
 
0.6%
644
 
0.6%
Other values (157)538
 
7.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_70A74_F
Categorical

HIGH CARDINALITY

Distinct121
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
963 
1
 
303
2
 
141
3
 
98
Other values (116)
563 

Length

Max length5
Median length1
Mean length1.053866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)1.0%

Sample

1st row32496
2nd row148
3rd row64
4th row39
5th row27

Common Values

ValueCountFrequency (%)
*5432
72.4%
0963
 
12.8%
1303
 
4.0%
2141
 
1.9%
398
 
1.3%
477
 
1.0%
560
 
0.8%
638
 
0.5%
734
 
0.5%
833
 
0.4%
Other values (111)321
 
4.3%

Length

2022-11-06T21:11:52.034581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0963
 
12.8%
1303
 
4.0%
2141
 
1.9%
398
 
1.3%
477
 
1.0%
560
 
0.8%
638
 
0.5%
734
 
0.5%
833
 
0.4%
Other values (111)321
 
4.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_70A74_M
Categorical

HIGH CARDINALITY

Distinct124
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
838 
1
 
324
2
 
173
3
 
93
Other values (119)
640 

Length

Max length5
Median length1
Mean length1.058666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)0.9%

Sample

1st row29386
2nd row339
3rd row116
4th row39
5th row27

Common Values

ValueCountFrequency (%)
*5432
72.4%
0838
 
11.2%
1324
 
4.3%
2173
 
2.3%
393
 
1.2%
490
 
1.2%
660
 
0.8%
553
 
0.7%
744
 
0.6%
1035
 
0.5%
Other values (114)358
 
4.8%

Length

2022-11-06T21:11:52.252581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0838
 
11.2%
1324
 
4.3%
2173
 
2.3%
393
 
1.2%
490
 
1.2%
660
 
0.8%
553
 
0.7%
744
 
0.6%
1035
 
0.5%
Other values (114)358
 
4.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_75A79
Categorical

HIGH CARDINALITY

Distinct140
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
816 
1
 
257
2
 
157
3
 
124
Other values (135)
714 

Length

Max length5
Median length1
Mean length1.069333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)1.1%

Sample

1st row41519
2nd row367
3rd row101
4th row62
5th row42

Common Values

ValueCountFrequency (%)
*5432
72.4%
0816
 
10.9%
1257
 
3.4%
2157
 
2.1%
3124
 
1.7%
497
 
1.3%
558
 
0.8%
647
 
0.6%
744
 
0.6%
834
 
0.5%
Other values (130)434
 
5.8%

Length

2022-11-06T21:11:52.461605image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0816
 
10.9%
1257
 
3.4%
2157
 
2.1%
3124
 
1.7%
497
 
1.3%
558
 
0.8%
647
 
0.6%
744
 
0.6%
834
 
0.5%
Other values (130)434
 
5.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_75A79_F
Categorical

HIGH CARDINALITY

Distinct106
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1059 
1
 
305
2
 
171
3
 
83
Other values (101)
 
450

Length

Max length5
Median length1
Mean length1.044666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)0.8%

Sample

1st row21842
2nd row113
3rd row33
4th row24
5th row18

Common Values

ValueCountFrequency (%)
*5432
72.4%
01059
 
14.1%
1305
 
4.1%
2171
 
2.3%
383
 
1.1%
457
 
0.8%
540
 
0.5%
636
 
0.5%
N/D31
 
0.4%
825
 
0.3%
Other values (96)261
 
3.5%

Length

2022-11-06T21:11:52.666582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01059
 
14.1%
1305
 
4.1%
2171
 
2.3%
383
 
1.1%
457
 
0.8%
540
 
0.5%
636
 
0.5%
n/d31
 
0.4%
825
 
0.3%
Other values (96)261
 
3.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_75A79_M
Categorical

HIGH CARDINALITY

Distinct109
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
952 
1
 
293
2
 
170
3
 
122
Other values (104)
 
531

Length

Max length5
Median length1
Mean length1.046666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)0.9%

Sample

1st row19677
2nd row254
3rd row68
4th row38
5th row24

Common Values

ValueCountFrequency (%)
*5432
72.4%
0952
 
12.7%
1293
 
3.9%
2170
 
2.3%
3122
 
1.6%
472
 
1.0%
551
 
0.7%
649
 
0.7%
737
 
0.5%
833
 
0.4%
Other values (99)289
 
3.9%

Length

2022-11-06T21:11:52.869584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0952
 
12.7%
1293
 
3.9%
2170
 
2.3%
3122
 
1.6%
472
 
1.0%
551
 
0.7%
649
 
0.7%
737
 
0.5%
833
 
0.4%
Other values (99)289
 
3.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_80A84
Categorical

HIGH CARDINALITY

Distinct121
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
952 
1
 
306
2
 
147
3
 
94
Other values (116)
569 

Length

Max length5
Median length1
Mean length1.0532
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)0.9%

Sample

1st row26144
2nd row225
3rd row74
4th row47
5th row33

Common Values

ValueCountFrequency (%)
*5432
72.4%
0952
 
12.7%
1306
 
4.1%
2147
 
2.0%
394
 
1.3%
489
 
1.2%
553
 
0.7%
647
 
0.6%
N/D31
 
0.4%
728
 
0.4%
Other values (111)321
 
4.3%

Length

2022-11-06T21:11:53.064555image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0952
 
12.7%
1306
 
4.1%
2147
 
2.0%
394
 
1.3%
489
 
1.2%
553
 
0.7%
647
 
0.6%
n/d31
 
0.4%
728
 
0.4%
Other values (111)321
 
4.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_80A84_F
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct89
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1221 
1
 
282
2
 
131
3
 
76
Other values (84)
 
358

Length

Max length5
Median length1
Mean length1.034666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)0.7%

Sample

1st row14305
2nd row86
3rd row26
4th row24
5th row17

Common Values

ValueCountFrequency (%)
*5432
72.4%
01221
 
16.3%
1282
 
3.8%
2131
 
1.7%
376
 
1.0%
444
 
0.6%
543
 
0.6%
N/D31
 
0.4%
628
 
0.4%
722
 
0.3%
Other values (79)190
 
2.5%

Length

2022-11-06T21:11:53.261554image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01221
 
16.3%
1282
 
3.8%
2131
 
1.7%
376
 
1.0%
444
 
0.6%
543
 
0.6%
n/d31
 
0.4%
628
 
0.4%
722
 
0.3%
Other values (79)190
 
2.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_80A84_M
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct93
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1095 
1
 
327
2
 
165
3
 
92
Other values (88)
 
389

Length

Max length5
Median length1
Mean length1.036133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)0.7%

Sample

1st row11839
2nd row139
3rd row48
4th row23
5th row16

Common Values

ValueCountFrequency (%)
*5432
72.4%
01095
 
14.6%
1327
 
4.4%
2165
 
2.2%
392
 
1.2%
452
 
0.7%
546
 
0.6%
639
 
0.5%
N/D31
 
0.4%
822
 
0.3%
Other values (83)199
 
2.7%

Length

2022-11-06T21:11:53.485581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01095
 
14.6%
1327
 
4.4%
2165
 
2.2%
392
 
1.2%
452
 
0.7%
546
 
0.6%
639
 
0.5%
n/d31
 
0.4%
822
 
0.3%
Other values (83)199
 
2.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_85YMAS
Categorical

HIGH CARDINALITY

Distinct106
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1040 
1
 
299
2
 
140
3
 
124
Other values (101)
 
465

Length

Max length5
Median length1
Mean length1.044666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)0.8%

Sample

1st row19548
2nd row118
3rd row52
4th row38
5th row26

Common Values

ValueCountFrequency (%)
*5432
72.4%
01040
 
13.9%
1299
 
4.0%
2140
 
1.9%
3124
 
1.7%
471
 
0.9%
552
 
0.7%
N/D31
 
0.4%
630
 
0.4%
722
 
0.3%
Other values (96)259
 
3.5%

Length

2022-11-06T21:11:53.690581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01040
 
13.9%
1299
 
4.0%
2140
 
1.9%
3124
 
1.7%
471
 
0.9%
552
 
0.7%
n/d31
 
0.4%
630
 
0.4%
722
 
0.3%
Other values (96)259
 
3.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_85YMAS_F
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct81
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1269 
1
 
300
2
 
144
3
 
62
Other values (76)
 
293

Length

Max length5
Median length1
Mean length1.0312
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)0.6%

Sample

1st row11380
2nd row47
3rd row27
4th row15
5th row10

Common Values

ValueCountFrequency (%)
*5432
72.4%
01269
 
16.9%
1300
 
4.0%
2144
 
1.9%
362
 
0.8%
435
 
0.5%
N/D31
 
0.4%
527
 
0.4%
721
 
0.3%
615
 
0.2%
Other values (71)164
 
2.2%

Length

2022-11-06T21:11:53.892554image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01269
 
16.9%
1300
 
4.0%
2144
 
1.9%
362
 
0.8%
435
 
0.5%
n/d31
 
0.4%
527
 
0.4%
721
 
0.3%
615
 
0.2%
Other values (71)164
 
2.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P_85YMAS_M
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct79
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1212 
1
 
306
2
 
146
3
 
83
Other values (74)
 
321

Length

Max length4
Median length1
Mean length1.028533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)0.6%

Sample

1st row8168
2nd row71
3rd row25
4th row23
5th row16

Common Values

ValueCountFrequency (%)
*5432
72.4%
01212
 
16.2%
1306
 
4.1%
2146
 
1.9%
383
 
1.1%
448
 
0.6%
536
 
0.5%
632
 
0.4%
N/D31
 
0.4%
819
 
0.3%
Other values (69)155
 
2.1%

Length

2022-11-06T21:11:54.222579image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01212
 
16.2%
1306
 
4.1%
2146
 
1.9%
383
 
1.1%
448
 
0.6%
536
 
0.5%
632
 
0.4%
n/d31
 
0.4%
819
 
0.3%
Other values (69)155
 
2.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PROM_HNV
Categorical

HIGH CARDINALITY

Distinct291
Distinct (%)3.9%
Missing24
Missing (%)0.3%
Memory size428.9 KiB
*
5543 
2
 
78
3
 
76
2.5
 
49
2.33
 
39
Other values (286)
1691 

Length

Max length4
Median length1
Mean length1.629079722
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)1.1%

Sample

1st row2.07
2nd row*
3rd row*
4th row2.43
5th row2.35

Common Values

ValueCountFrequency (%)
*5543
73.9%
278
 
1.0%
376
 
1.0%
2.549
 
0.7%
2.3339
 
0.5%
2.6735
 
0.5%
1.6733
 
0.4%
2.2532
 
0.4%
N/D31
 
0.4%
127
 
0.4%
Other values (281)1533
 
20.4%

Length

2022-11-06T21:11:54.398559image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5543
74.1%
278
 
1.0%
376
 
1.0%
2.549
 
0.7%
2.3339
 
0.5%
2.6735
 
0.5%
1.6733
 
0.4%
2.2532
 
0.4%
n/d31
 
0.4%
127
 
0.4%
Other values (281)1533
 
20.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PNACENT
Categorical

HIGH CARDINALITY

Distinct643
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size427.6 KiB
*
5432 
10
 
75
8
 
60
7
 
57
6
 
54
Other values (638)
1822 

Length

Max length7
Median length1
Mean length1.364266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique405 ?
Unique (%)5.4%

Sample

1st row2459398
2nd row10424
3rd row3616
4th row2481
5th row1590

Common Values

ValueCountFrequency (%)
*5432
72.4%
1075
 
1.0%
860
 
0.8%
757
 
0.8%
654
 
0.7%
954
 
0.7%
450
 
0.7%
1349
 
0.7%
1246
 
0.6%
1144
 
0.6%
Other values (633)1579
 
21.1%

Length

2022-11-06T21:11:54.584581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1075
 
1.0%
860
 
0.8%
757
 
0.8%
654
 
0.7%
954
 
0.7%
450
 
0.7%
1349
 
0.7%
1246
 
0.6%
1144
 
0.6%
Other values (633)1579
 
21.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PNACENT_F
Categorical

HIGH CARDINALITY

Distinct491
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size426.9 KiB
*
5432 
3
 
106
6
 
105
5
 
99
4
 
95
Other values (486)
1663 

Length

Max length7
Median length1
Mean length1.265333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique296 ?
Unique (%)3.9%

Sample

1st row1237307
2nd row4025
3rd row1575
4th row1196
5th row764

Common Values

ValueCountFrequency (%)
*5432
72.4%
3106
 
1.4%
6105
 
1.4%
599
 
1.3%
495
 
1.3%
292
 
1.2%
180
 
1.1%
773
 
1.0%
857
 
0.8%
051
 
0.7%
Other values (481)1310
 
17.5%

Length

2022-11-06T21:11:54.753594image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3106
 
1.4%
6105
 
1.4%
599
 
1.3%
495
 
1.3%
292
 
1.2%
180
 
1.1%
773
 
1.0%
857
 
0.8%
051
 
0.7%
Other values (481)1310
 
17.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PNACENT_M
Categorical

HIGH CARDINALITY

Distinct497
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size427.0 KiB
*
5432 
5
 
115
4
 
113
3
 
101
6
 
93
Other values (492)
1646 

Length

Max length7
Median length1
Mean length1.282666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique291 ?
Unique (%)3.9%

Sample

1st row1222091
2nd row6399
3rd row2041
4th row1285
5th row826

Common Values

ValueCountFrequency (%)
*5432
72.4%
5115
 
1.5%
4113
 
1.5%
3101
 
1.3%
693
 
1.2%
770
 
0.9%
867
 
0.9%
259
 
0.8%
1050
 
0.7%
949
 
0.7%
Other values (487)1351
 
18.0%

Length

2022-11-06T21:11:54.921552image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
5115
 
1.5%
4113
 
1.5%
3101
 
1.3%
693
 
1.2%
770
 
0.9%
867
 
0.9%
259
 
0.8%
1050
 
0.7%
949
 
0.7%
Other values (487)1351
 
18.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PNACOE
Categorical

HIGH CARDINALITY

Distinct254
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
459
1
 
189
2
 
181
3
 
127
Other values (249)
1112 

Length

Max length6
Median length1
Mean length1.136
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)2.1%

Sample

1st row425906
2nd row4375
3rd row1080
4th row44
5th row33

Common Values

ValueCountFrequency (%)
*5432
72.4%
0459
 
6.1%
1189
 
2.5%
2181
 
2.4%
3127
 
1.7%
4106
 
1.4%
583
 
1.1%
661
 
0.8%
753
 
0.7%
845
 
0.6%
Other values (244)764
 
10.2%

Length

2022-11-06T21:11:55.084582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0459
 
6.1%
1189
 
2.5%
2181
 
2.4%
3127
 
1.7%
4106
 
1.4%
583
 
1.1%
661
 
0.8%
753
 
0.7%
845
 
0.6%
Other values (244)764
 
10.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PNACOE_F
Categorical

HIGH CARDINALITY

Distinct195
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
660 
1
 
306
2
 
198
3
 
115
Other values (190)
789 

Length

Max length6
Median length1
Mean length1.089733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)1.6%

Sample

1st row207534
2nd row1147
3rd row383
4th row15
5th row12

Common Values

ValueCountFrequency (%)
*5432
72.4%
0660
 
8.8%
1306
 
4.1%
2198
 
2.6%
3115
 
1.5%
480
 
1.1%
573
 
1.0%
747
 
0.6%
646
 
0.6%
934
 
0.5%
Other values (185)509
 
6.8%

Length

2022-11-06T21:11:55.271594image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0660
 
8.8%
1306
 
4.1%
2198
 
2.6%
3115
 
1.5%
480
 
1.1%
573
 
1.0%
747
 
0.6%
646
 
0.6%
934
 
0.5%
Other values (185)509
 
6.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PNACOE_M
Categorical

HIGH CARDINALITY

Distinct204
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
592 
1
 
281
2
 
176
3
 
146
Other values (199)
873 

Length

Max length6
Median length1
Mean length1.098666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)1.7%

Sample

1st row218372
2nd row3228
3rd row697
4th row29
5th row21

Common Values

ValueCountFrequency (%)
*5432
72.4%
0592
 
7.9%
1281
 
3.7%
2176
 
2.3%
3146
 
1.9%
492
 
1.2%
567
 
0.9%
667
 
0.9%
740
 
0.5%
838
 
0.5%
Other values (194)569
 
7.6%

Length

2022-11-06T21:11:55.456556image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0592
 
7.9%
1281
 
3.7%
2176
 
2.3%
3146
 
1.9%
492
 
1.2%
567
 
0.9%
667
 
0.9%
740
 
0.5%
838
 
0.5%
Other values (194)569
 
7.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PRES2015
Categorical

HIGH CARDINALITY

Distinct652
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size427.7 KiB
*
5432 
11
 
75
9
 
65
10
 
58
8
 
53
Other values (647)
1817 

Length

Max length7
Median length1
Mean length1.374666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)5.4%

Sample

1st row2629071
2nd row11287
3rd row3937
4th row2346
5th row1516

Common Values

ValueCountFrequency (%)
*5432
72.4%
1175
 
1.0%
965
 
0.9%
1058
 
0.8%
853
 
0.7%
652
 
0.7%
749
 
0.7%
1248
 
0.6%
1642
 
0.6%
1342
 
0.6%
Other values (642)1584
 
21.1%

Length

2022-11-06T21:11:55.643596image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1175
 
1.0%
965
 
0.9%
1058
 
0.8%
853
 
0.7%
652
 
0.7%
749
 
0.7%
1248
 
0.6%
1642
 
0.6%
1342
 
0.6%
Other values (642)1584
 
21.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PRES2015_F
Categorical

HIGH CARDINALITY

Distinct495
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size426.9 KiB
*
5432 
6
 
108
5
 
105
4
 
104
3
 
95
Other values (490)
1656 

Length

Max length7
Median length1
Mean length1.270533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique302 ?
Unique (%)4.0%

Sample

1st row1322629
2nd row4257
3rd row1697
4th row1122
5th row721

Common Values

ValueCountFrequency (%)
*5432
72.4%
6108
 
1.4%
5105
 
1.4%
4104
 
1.4%
395
 
1.3%
288
 
1.2%
775
 
1.0%
859
 
0.8%
153
 
0.7%
945
 
0.6%
Other values (485)1336
 
17.8%

Length

2022-11-06T21:11:55.822557image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
6108
 
1.4%
5105
 
1.4%
4104
 
1.4%
395
 
1.3%
288
 
1.2%
775
 
1.0%
859
 
0.8%
153
 
0.7%
945
 
0.6%
Other values (485)1336
 
17.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PRES2015_M
Categorical

HIGH CARDINALITY

Distinct513
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size427.1 KiB
*
5432 
5
 
110
4
 
106
6
 
97
3
 
93
Other values (508)
1662 

Length

Max length7
Median length1
Mean length1.290933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)4.2%

Sample

1st row1306442
2nd row7030
3rd row2240
4th row1224
5th row795

Common Values

ValueCountFrequency (%)
*5432
72.4%
5110
 
1.5%
4106
 
1.4%
697
 
1.3%
393
 
1.2%
780
 
1.1%
868
 
0.9%
953
 
0.7%
1050
 
0.7%
1146
 
0.6%
Other values (503)1365
 
18.2%

Length

2022-11-06T21:11:55.988581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
5110
 
1.5%
4106
 
1.4%
697
 
1.3%
393
 
1.2%
780
 
1.1%
868
 
0.9%
953
 
0.7%
1050
 
0.7%
1146
 
0.6%
Other values (503)1365
 
18.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PRESOE15
Categorical

HIGH CARDINALITY

Distinct143
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
1126 
1
 
203
2
 
112
3
 
88
Other values (138)
 
539

Length

Max length5
Median length1
Mean length1.059866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)1.2%

Sample

1st row75302
2nd row2767
3rd row458
4th row25
5th row19

Common Values

ValueCountFrequency (%)
*5432
72.4%
01126
 
15.0%
1203
 
2.7%
2112
 
1.5%
388
 
1.2%
463
 
0.8%
645
 
0.6%
545
 
0.6%
N/D31
 
0.4%
729
 
0.4%
Other values (133)326
 
4.3%

Length

2022-11-06T21:11:56.163553image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01126
 
15.0%
1203
 
2.7%
2112
 
1.5%
388
 
1.2%
463
 
0.8%
645
 
0.6%
545
 
0.6%
n/d31
 
0.4%
729
 
0.4%
Other values (133)326
 
4.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PRESOE15_F
Categorical

HIGH CARDINALITY

Distinct108
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1321 
1
 
206
2
 
111
3
 
74
Other values (103)
 
356

Length

Max length5
Median length1
Mean length1.0392
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)1.0%

Sample

1st row33953
2nd row588
3rd row115
4th row12
5th row10

Common Values

ValueCountFrequency (%)
*5432
72.4%
01321
 
17.6%
1206
 
2.7%
2111
 
1.5%
374
 
1.0%
442
 
0.6%
537
 
0.5%
N/D31
 
0.4%
622
 
0.3%
820
 
0.3%
Other values (98)204
 
2.7%

Length

2022-11-06T21:11:56.368580image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01321
 
17.6%
1206
 
2.7%
2111
 
1.5%
374
 
1.0%
442
 
0.6%
537
 
0.5%
n/d31
 
0.4%
622
 
0.3%
820
 
0.3%
Other values (98)204
 
2.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PRESOE15_M
Categorical

HIGH CARDINALITY

Distinct125
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1225 
1
 
239
2
 
130
3
 
80
Other values (120)
 
394

Length

Max length5
Median length1
Mean length1.0452
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)1.1%

Sample

1st row41349
2nd row2179
3rd row343
4th row13
5th row9

Common Values

ValueCountFrequency (%)
*5432
72.4%
01225
 
16.3%
1239
 
3.2%
2130
 
1.7%
380
 
1.1%
459
 
0.8%
533
 
0.4%
N/D31
 
0.4%
624
 
0.3%
723
 
0.3%
Other values (115)224
 
3.0%

Length

2022-11-06T21:11:56.576581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01225
 
16.3%
1239
 
3.2%
2130
 
1.7%
380
 
1.1%
459
 
0.8%
533
 
0.4%
n/d31
 
0.4%
624
 
0.3%
723
 
0.3%
Other values (115)224
 
3.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3YM_HLI
Categorical

HIGH CARDINALITY

Distinct224
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
1029 
1
 
195
2
 
119
3
 
64
Other values (219)
661 

Length

Max length5
Median length1
Mean length1.090266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)1.8%

Sample

1st row62808
2nd row1906
3rd row337
4th row2
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01029
 
13.7%
1195
 
2.6%
2119
 
1.6%
364
 
0.9%
453
 
0.7%
540
 
0.5%
632
 
0.4%
N/D31
 
0.4%
724
 
0.3%
Other values (214)481
 
6.4%

Length

2022-11-06T21:11:56.785581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01029
 
13.7%
1195
 
2.6%
2119
 
1.6%
364
 
0.9%
453
 
0.7%
540
 
0.5%
632
 
0.4%
n/d31
 
0.4%
724
 
0.3%
Other values (214)481
 
6.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3YM_HLI_F
Categorical

HIGH CARDINALITY

Distinct155
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
1216 
1
 
211
2
 
85
3
 
58
Other values (150)
 
498

Length

Max length5
Median length1
Mean length1.064
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)1.1%

Sample

1st row28170
2nd row405
3rd row101
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01216
 
16.2%
1211
 
2.8%
285
 
1.1%
358
 
0.8%
441
 
0.5%
N/D31
 
0.4%
531
 
0.4%
822
 
0.3%
718
 
0.2%
Other values (145)355
 
4.7%

Length

2022-11-06T21:11:56.974581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01216
 
16.2%
1211
 
2.8%
285
 
1.1%
358
 
0.8%
441
 
0.5%
n/d31
 
0.4%
531
 
0.4%
822
 
0.3%
718
 
0.2%
Other values (145)355
 
4.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3YM_HLI_M
Categorical

HIGH CARDINALITY

Distinct171
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
1123 
1
 
205
2
 
128
3
 
68
Other values (166)
544 

Length

Max length5
Median length1
Mean length1.071333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)1.2%

Sample

1st row34638
2nd row1501
3rd row236
4th row2
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01123
 
15.0%
1205
 
2.7%
2128
 
1.7%
368
 
0.9%
440
 
0.5%
534
 
0.5%
N/D31
 
0.4%
627
 
0.4%
822
 
0.3%
Other values (161)390
 
5.2%

Length

2022-11-06T21:11:57.178554image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01123
 
15.0%
1205
 
2.7%
2128
 
1.7%
368
 
0.9%
440
 
0.5%
534
 
0.5%
n/d31
 
0.4%
627
 
0.4%
822
 
0.3%
Other values (161)390
 
5.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3HLINHE
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct35
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size425.0 KiB
*
5432 
0
1834 
1
 
85
2
 
31
N/D
 
31
Other values (30)
 
87

Length

Max length4
Median length1
Mean length1.013466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.2%

Sample

1st row1104
2nd row12
3rd row17
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01834
 
24.5%
185
 
1.1%
231
 
0.4%
N/D31
 
0.4%
315
 
0.2%
412
 
0.2%
512
 
0.2%
94
 
0.1%
64
 
0.1%
Other values (25)40
 
0.5%

Length

2022-11-06T21:11:57.373552image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01834
 
24.5%
185
 
1.1%
231
 
0.4%
n/d31
 
0.4%
315
 
0.2%
412
 
0.2%
512
 
0.2%
94
 
0.1%
64
 
0.1%
Other values (25)40
 
0.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3HLINHE_F
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size425.0 KiB
*
5432 
0
1886 
1
 
77
N/D
 
31
2
 
20
Other values (21)
 
54

Length

Max length3
Median length1
Mean length1.011066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)0.2%

Sample

1st row605
2nd row5
3rd row3
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01886
 
25.1%
177
 
1.0%
N/D31
 
0.4%
220
 
0.3%
314
 
0.2%
78
 
0.1%
47
 
0.1%
54
 
0.1%
63
 
< 0.1%
Other values (16)18
 
0.2%

Length

2022-11-06T21:11:57.571554image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01886
 
25.1%
177
 
1.0%
n/d31
 
0.4%
220
 
0.3%
314
 
0.2%
78
 
0.1%
47
 
0.1%
54
 
0.1%
63
 
< 0.1%
Other values (16)18
 
0.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3HLINHE_M
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct29
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size425.0 KiB
*
5432 
0
1887 
1
 
62
2
 
31
N/D
 
31
Other values (24)
 
57

Length

Max length3
Median length1
Mean length1.0112
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st row499
2nd row7
3rd row14
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01887
 
25.2%
162
 
0.8%
231
 
0.4%
N/D31
 
0.4%
414
 
0.2%
311
 
0.1%
65
 
0.1%
73
 
< 0.1%
113
 
< 0.1%
Other values (19)21
 
0.3%

Length

2022-11-06T21:11:57.786552image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01887
 
25.2%
162
 
0.8%
231
 
0.4%
n/d31
 
0.4%
414
 
0.2%
311
 
0.1%
65
 
0.1%
73
 
< 0.1%
113
 
< 0.1%
Other values (19)21
 
0.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3HLI_HE
Categorical

HIGH CARDINALITY

Distinct215
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
1032 
1
 
192
2
 
119
3
 
67
Other values (210)
658 

Length

Max length5
Median length1
Mean length1.089733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)1.7%

Sample

1st row61130
2nd row1873
3rd row320
4th row2
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01032
 
13.8%
1192
 
2.6%
2119
 
1.6%
367
 
0.9%
453
 
0.7%
542
 
0.6%
N/D31
 
0.4%
628
 
0.4%
727
 
0.4%
Other values (205)477
 
6.4%

Length

2022-11-06T21:11:58.030585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01032
 
13.8%
1192
 
2.6%
2119
 
1.6%
367
 
0.9%
453
 
0.7%
542
 
0.6%
n/d31
 
0.4%
628
 
0.4%
727
 
0.4%
Other values (205)477
 
6.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3HLI_HE_F
Categorical

HIGH CARDINALITY

Distinct153
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
1219 
1
 
210
2
 
85
3
 
61
Other values (148)
 
493

Length

Max length5
Median length1
Mean length1.063333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)1.2%

Sample

1st row27307
2nd row397
3rd row98
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01219
 
16.3%
1210
 
2.8%
285
 
1.1%
361
 
0.8%
442
 
0.6%
N/D31
 
0.4%
527
 
0.4%
724
 
0.3%
817
 
0.2%
Other values (143)352
 
4.7%

Length

2022-11-06T21:11:58.221581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01219
 
16.3%
1210
 
2.8%
285
 
1.1%
361
 
0.8%
442
 
0.6%
n/d31
 
0.4%
527
 
0.4%
724
 
0.3%
817
 
0.2%
Other values (143)352
 
4.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3HLI_HE_M
Categorical

HIGH CARDINALITY

Distinct165
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
1124 
1
 
207
2
 
127
3
 
68
Other values (160)
 
542

Length

Max length5
Median length1
Mean length1.070666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)1.1%

Sample

1st row33823
2nd row1476
3rd row222
4th row2
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01124
 
15.0%
1207
 
2.8%
2127
 
1.7%
368
 
0.9%
438
 
0.5%
535
 
0.5%
631
 
0.4%
N/D31
 
0.4%
1019
 
0.3%
Other values (155)388
 
5.2%

Length

2022-11-06T21:11:58.407602image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01124
 
15.0%
1207
 
2.8%
2127
 
1.7%
368
 
0.9%
438
 
0.5%
535
 
0.5%
631
 
0.4%
n/d31
 
0.4%
1019
 
0.3%
Other values (155)388
 
5.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P5_HLI
Categorical

HIGH CARDINALITY

Distinct219
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
1029 
1
 
195
2
 
119
3
 
65
Other values (214)
660 

Length

Max length5
Median length1
Mean length1.090133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)1.7%

Sample

1st row62070
2nd row1903
3rd row336
4th row2
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01029
 
13.7%
1195
 
2.6%
2119
 
1.6%
365
 
0.9%
453
 
0.7%
540
 
0.5%
631
 
0.4%
N/D31
 
0.4%
724
 
0.3%
Other values (209)481
 
6.4%

Length

2022-11-06T21:11:58.604582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01029
 
13.7%
1195
 
2.6%
2119
 
1.6%
365
 
0.9%
453
 
0.7%
540
 
0.5%
631
 
0.4%
n/d31
 
0.4%
724
 
0.3%
Other values (209)481
 
6.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P5_HLI_NHE
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct34
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size425.0 KiB
*
5432 
0
1836 
1
 
86
2
 
31
N/D
 
31
Other values (29)
 
84

Length

Max length4
Median length1
Mean length1.0132
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)0.2%

Sample

1st row1005
2nd row12
3rd row16
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01836
 
24.5%
186
 
1.1%
231
 
0.4%
N/D31
 
0.4%
416
 
0.2%
313
 
0.2%
59
 
0.1%
115
 
0.1%
94
 
0.1%
Other values (24)37
 
0.5%

Length

2022-11-06T21:11:58.799584image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01836
 
24.5%
186
 
1.1%
231
 
0.4%
n/d31
 
0.4%
416
 
0.2%
313
 
0.2%
59
 
0.1%
115
 
0.1%
94
 
0.1%
Other values (24)37
 
0.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P5_HLI_HE
Categorical

HIGH CARDINALITY

Distinct216
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
1032 
1
 
192
2
 
119
3
 
67
Other values (211)
658 

Length

Max length5
Median length1
Mean length1.0896
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)1.7%

Sample

1st row60499
2nd row1870
3rd row320
4th row2
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01032
 
13.8%
1192
 
2.6%
2119
 
1.6%
367
 
0.9%
454
 
0.7%
542
 
0.6%
N/D31
 
0.4%
627
 
0.4%
727
 
0.4%
Other values (206)477
 
6.4%

Length

2022-11-06T21:11:58.965587image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01032
 
13.8%
1192
 
2.6%
2119
 
1.6%
367
 
0.9%
454
 
0.7%
542
 
0.6%
n/d31
 
0.4%
627
 
0.4%
727
 
0.4%
Other values (206)477
 
6.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PHOG_IND
Categorical

HIGH CARDINALITY

Distinct283
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
1059 
2
 
73
4
 
64
3
 
53
Other values (278)
819 

Length

Max length6
Median length1
Mean length1.123466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique181 ?
Unique (%)2.4%

Sample

1st row126644
2nd row786
3rd row458
4th row4
5th row4

Common Values

ValueCountFrequency (%)
*5432
72.4%
01059
 
14.1%
273
 
1.0%
464
 
0.9%
353
 
0.7%
645
 
0.6%
145
 
0.6%
736
 
0.5%
N/D31
 
0.4%
929
 
0.4%
Other values (273)633
 
8.4%

Length

2022-11-06T21:11:59.141588image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01059
 
14.1%
273
 
1.0%
464
 
0.9%
353
 
0.7%
645
 
0.6%
145
 
0.6%
736
 
0.5%
n/d31
 
0.4%
929
 
0.4%
Other values (273)633
 
8.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POB_AFRO
Categorical

HIGH CARDINALITY

Distinct114
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1435 
1
 
201
2
 
86
3
 
48
Other values (109)
 
298

Length

Max length5
Median length1
Mean length1.0412
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)1.0%

Sample

1st row43510
2nd row206
3rd row52
4th row20
5th row18

Common Values

ValueCountFrequency (%)
*5432
72.4%
01435
 
19.1%
1201
 
2.7%
286
 
1.1%
348
 
0.6%
N/D31
 
0.4%
427
 
0.4%
620
 
0.3%
516
 
0.2%
913
 
0.2%
Other values (104)191
 
2.5%

Length

2022-11-06T21:11:59.460581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01435
 
19.1%
1201
 
2.7%
286
 
1.1%
348
 
0.6%
n/d31
 
0.4%
427
 
0.4%
620
 
0.3%
516
 
0.2%
913
 
0.2%
Other values (104)191
 
2.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POB_AFRO_F
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct89
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1598 
1
 
152
2
 
61
3
 
38
Other values (84)
 
219

Length

Max length5
Median length1
Mean length1.030266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)0.8%

Sample

1st row21233
2nd row40
3rd row21
4th row10
5th row8

Common Values

ValueCountFrequency (%)
*5432
72.4%
01598
 
21.3%
1152
 
2.0%
261
 
0.8%
338
 
0.5%
N/D31
 
0.4%
418
 
0.2%
516
 
0.2%
614
 
0.2%
811
 
0.1%
Other values (79)129
 
1.7%

Length

2022-11-06T21:11:59.656553image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01598
 
21.3%
1152
 
2.0%
261
 
0.8%
338
 
0.5%
n/d31
 
0.4%
418
 
0.2%
516
 
0.2%
614
 
0.2%
811
 
0.1%
Other values (79)129
 
1.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POB_AFRO_M
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct92
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1536 
1
 
186
2
 
75
3
 
34
Other values (87)
 
237

Length

Max length5
Median length1
Mean length1.032533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)0.8%

Sample

1st row22277
2nd row166
3rd row31
4th row10
5th row10

Common Values

ValueCountFrequency (%)
*5432
72.4%
01536
 
20.5%
1186
 
2.5%
275
 
1.0%
334
 
0.5%
N/D31
 
0.4%
418
 
0.2%
616
 
0.2%
714
 
0.2%
511
 
0.1%
Other values (82)147
 
2.0%

Length

2022-11-06T21:12:00.060559image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01536
 
20.5%
1186
 
2.5%
275
 
1.0%
334
 
0.5%
n/d31
 
0.4%
418
 
0.2%
616
 
0.2%
714
 
0.2%
511
 
0.1%
Other values (82)147
 
2.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCON_DISC
Categorical

HIGH CARDINALITY

Distinct226
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
503
1
 
277
2
 
163
3
 
107
Other values (221)
1018 

Length

Max length6
Median length1
Mean length1.123466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)1.8%

Sample

1st row145473
2nd row714
3rd row263
4th row171
5th row117

Common Values

ValueCountFrequency (%)
*5432
72.4%
0503
 
6.7%
1277
 
3.7%
2163
 
2.2%
3107
 
1.4%
577
 
1.0%
476
 
1.0%
651
 
0.7%
748
 
0.6%
835
 
0.5%
Other values (216)731
 
9.7%

Length

2022-11-06T21:12:00.240554image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0503
 
6.7%
1277
 
3.7%
2163
 
2.2%
3107
 
1.4%
577
 
1.0%
476
 
1.0%
651
 
0.7%
748
 
0.6%
835
 
0.5%
Other values (216)731
 
9.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCDISC_MOT
Categorical

HIGH CARDINALITY

Distinct160
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
739 
1
 
297
2
 
160
3
 
99
Other values (155)
773 

Length

Max length5
Median length1
Mean length1.085733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique89 ?
Unique (%)1.2%

Sample

1st row68891
2nd row323
3rd row122
4th row84
5th row50

Common Values

ValueCountFrequency (%)
*5432
72.4%
0739
 
9.9%
1297
 
4.0%
2160
 
2.1%
399
 
1.3%
475
 
1.0%
556
 
0.7%
645
 
0.6%
738
 
0.5%
934
 
0.5%
Other values (150)525
 
7.0%

Length

2022-11-06T21:12:00.413585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0739
 
9.9%
1297
 
4.0%
2160
 
2.1%
399
 
1.3%
475
 
1.0%
556
 
0.7%
645
 
0.6%
738
 
0.5%
934
 
0.5%
Other values (150)525
 
7.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCDISC_VIS
Categorical

HIGH CARDINALITY

Distinct161
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
780 
1
 
299
2
 
162
3
 
99
Other values (156)
728 

Length

Max length5
Median length1
Mean length1.0828
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)1.2%

Sample

1st row64061
2nd row316
3rd row97
4th row75
5th row53

Common Values

ValueCountFrequency (%)
*5432
72.4%
0780
 
10.4%
1299
 
4.0%
2162
 
2.2%
399
 
1.3%
463
 
0.8%
558
 
0.8%
644
 
0.6%
734
 
0.5%
N/D31
 
0.4%
Other values (151)498
 
6.6%

Length

2022-11-06T21:12:00.608581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0780
 
10.4%
1299
 
4.0%
2162
 
2.2%
399
 
1.3%
463
 
0.8%
558
 
0.8%
644
 
0.6%
734
 
0.5%
n/d31
 
0.4%
Other values (151)498
 
6.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCDISC_LENG
Categorical

HIGH CARDINALITY

Distinct102
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1127 
1
 
292
2
 
136
3
 
82
Other values (97)
 
431

Length

Max length5
Median length1
Mean length1.041466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)0.8%

Sample

1st row20976
2nd row102
3rd row32
4th row18
5th row15

Common Values

ValueCountFrequency (%)
*5432
72.4%
01127
 
15.0%
1292
 
3.9%
2136
 
1.8%
382
 
1.1%
652
 
0.7%
449
 
0.7%
541
 
0.5%
N/D31
 
0.4%
726
 
0.3%
Other values (92)232
 
3.1%

Length

2022-11-06T21:12:00.818582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01127
 
15.0%
1292
 
3.9%
2136
 
1.8%
382
 
1.1%
652
 
0.7%
449
 
0.7%
541
 
0.5%
n/d31
 
0.4%
726
 
0.3%
Other values (92)232
 
3.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCDISC_AUD
Categorical

HIGH CARDINALITY

Distinct118
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
974 
1
 
295
2
 
138
3
 
101
Other values (113)
560 

Length

Max length5
Median length1
Mean length1.053333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)0.9%

Sample

1st row26464
2nd row152
3rd row57
4th row28
5th row25

Common Values

ValueCountFrequency (%)
*5432
72.4%
0974
 
13.0%
1295
 
3.9%
2138
 
1.8%
3101
 
1.3%
476
 
1.0%
555
 
0.7%
637
 
0.5%
734
 
0.5%
N/D31
 
0.4%
Other values (108)327
 
4.4%

Length

2022-11-06T21:12:01.001575image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0974
 
13.0%
1295
 
3.9%
2138
 
1.8%
3101
 
1.3%
476
 
1.0%
555
 
0.7%
637
 
0.5%
734
 
0.5%
n/d31
 
0.4%
Other values (108)327
 
4.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCDISC_MOT2
Categorical

HIGH CARDINALITY

Distinct121
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1030 
1
 
279
2
 
140
3
 
103
Other values (116)
 
516

Length

Max length5
Median length1
Mean length1.050666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)1.0%

Sample

1st row29021
2nd row105
3rd row47
4th row41
5th row26

Common Values

ValueCountFrequency (%)
*5432
72.4%
01030
 
13.7%
1279
 
3.7%
2140
 
1.9%
3103
 
1.4%
458
 
0.8%
558
 
0.8%
646
 
0.6%
732
 
0.4%
N/D31
 
0.4%
Other values (111)291
 
3.9%

Length

2022-11-06T21:12:01.182585image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01030
 
13.7%
1279
 
3.7%
2140
 
1.9%
3103
 
1.4%
458
 
0.8%
558
 
0.8%
646
 
0.6%
732
 
0.4%
n/d31
 
0.4%
Other values (111)291
 
3.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCDISC_MEN
Categorical

HIGH CARDINALITY

Distinct115
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1049 
1
 
309
2
 
138
3
 
83
Other values (110)
 
489

Length

Max length5
Median length1
Mean length1.048666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)1.0%

Sample

1st row26592
2nd row110
3rd row36
4th row22
5th row15

Common Values

ValueCountFrequency (%)
*5432
72.4%
01049
 
14.0%
1309
 
4.1%
2138
 
1.8%
383
 
1.1%
460
 
0.8%
543
 
0.6%
637
 
0.5%
834
 
0.5%
N/D31
 
0.4%
Other values (105)284
 
3.8%

Length

2022-11-06T21:12:01.388580image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01049
 
14.0%
1309
 
4.1%
2138
 
1.8%
383
 
1.1%
460
 
0.8%
543
 
0.6%
637
 
0.5%
834
 
0.5%
n/d31
 
0.4%
Other values (105)284
 
3.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCON_LIMI
Categorical

HIGH CARDINALITY

Distinct311
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
0
 
225
1
 
213
2
 
188
3
 
138
Other values (306)
1304 

Length

Max length6
Median length1
Mean length1.1732
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique185 ?
Unique (%)2.5%

Sample

1st row317996
2nd row2033
3rd row626
4th row362
5th row278

Common Values

ValueCountFrequency (%)
*5432
72.4%
0225
 
3.0%
1213
 
2.8%
2188
 
2.5%
3138
 
1.8%
4106
 
1.4%
585
 
1.1%
663
 
0.8%
939
 
0.5%
739
 
0.5%
Other values (301)972
 
13.0%

Length

2022-11-06T21:12:01.561597image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0225
 
3.0%
1213
 
2.8%
2188
 
2.5%
3138
 
1.8%
4106
 
1.4%
585
 
1.1%
663
 
0.8%
939
 
0.5%
739
 
0.5%
Other values (301)972
 
13.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCLIM_CSB
Categorical

HIGH CARDINALITY

Distinct192
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
550 
1
 
307
2
 
180
3
 
127
Other values (187)
904 

Length

Max length5
Median length1
Mean length1.104266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)1.5%

Sample

1st row92026
2nd row710
3rd row201
4th row110
5th row74

Common Values

ValueCountFrequency (%)
*5432
72.4%
0550
 
7.3%
1307
 
4.1%
2180
 
2.4%
3127
 
1.7%
473
 
1.0%
561
 
0.8%
650
 
0.7%
749
 
0.7%
831
 
0.4%
Other values (182)640
 
8.5%

Length

2022-11-06T21:12:01.832552image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0550
 
7.3%
1307
 
4.1%
2180
 
2.4%
3127
 
1.7%
473
 
1.0%
561
 
0.8%
650
 
0.7%
749
 
0.7%
n/d31
 
0.4%
Other values (182)640
 
8.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCLIM_VIS
Categorical

HIGH CARDINALITY

Distinct264
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size426.0 KiB
*
5432 
0
 
409
1
 
253
2
 
187
3
 
129
Other values (259)
1090 

Length

Max length6
Median length1
Mean length1.143066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)2.1%

Sample

1st row205671
2nd row1242
3rd row406
4th row269
5th row215

Common Values

ValueCountFrequency (%)
*5432
72.4%
0409
 
5.5%
1253
 
3.4%
2187
 
2.5%
3129
 
1.7%
491
 
1.2%
556
 
0.7%
652
 
0.7%
736
 
0.5%
N/D31
 
0.4%
Other values (254)824
 
11.0%

Length

2022-11-06T21:12:02.004552image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0409
 
5.5%
1253
 
3.4%
2187
 
2.5%
3129
 
1.7%
491
 
1.2%
556
 
0.7%
652
 
0.7%
736
 
0.5%
n/d31
 
0.4%
Other values (254)824
 
11.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCLIM_HACO
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct94
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1135 
1
 
329
2
 
140
3
 
91
Other values (89)
 
373

Length

Max length5
Median length1
Mean length1.038
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)0.8%

Sample

1st row18517
2nd row126
3rd row30
4th row13
5th row9

Common Values

ValueCountFrequency (%)
*5432
72.4%
01135
 
15.1%
1329
 
4.4%
2140
 
1.9%
391
 
1.2%
458
 
0.8%
636
 
0.5%
534
 
0.5%
N/D31
 
0.4%
718
 
0.2%
Other values (84)196
 
2.6%

Length

2022-11-06T21:12:02.172553image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01135
 
15.1%
1329
 
4.4%
2140
 
1.9%
391
 
1.2%
458
 
0.8%
636
 
0.5%
534
 
0.5%
n/d31
 
0.4%
718
 
0.2%
Other values (84)196
 
2.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCLIM_OAUD
Categorical

HIGH CARDINALITY

Distinct156
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
716 
1
 
312
2
 
167
3
 
88
Other values (151)
785 

Length

Max length5
Median length1
Mean length1.0812
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)1.2%

Sample

1st row57018
2nd row476
3rd row152
4th row61
5th row45

Common Values

ValueCountFrequency (%)
*5432
72.4%
0716
 
9.5%
1312
 
4.2%
2167
 
2.2%
388
 
1.2%
482
 
1.1%
558
 
0.8%
656
 
0.7%
843
 
0.6%
740
 
0.5%
Other values (146)506
 
6.7%

Length

2022-11-06T21:12:02.360552image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0716
 
9.5%
1312
 
4.2%
2167
 
2.2%
388
 
1.2%
482
 
1.1%
558
 
0.8%
656
 
0.7%
843
 
0.6%
740
 
0.5%
Other values (146)506
 
6.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCLIM_MOT2
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct88
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1259 
1
 
277
2
 
122
3
 
79
Other values (83)
 
331

Length

Max length5
Median length1
Mean length1.032266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)0.7%

Sample

1st row14451
2nd row81
3rd row27
4th row19
5th row11

Common Values

ValueCountFrequency (%)
*5432
72.4%
01259
 
16.8%
1277
 
3.7%
2122
 
1.6%
379
 
1.1%
458
 
0.8%
542
 
0.6%
N/D31
 
0.4%
625
 
0.3%
715
 
0.2%
Other values (78)160
 
2.1%

Length

2022-11-06T21:12:02.541582image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01259
 
16.8%
1277
 
3.7%
2122
 
1.6%
379
 
1.1%
458
 
0.8%
542
 
0.6%
n/d31
 
0.4%
625
 
0.3%
715
 
0.2%
Other values (78)160
 
2.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCLIM_RE_CO
Categorical

HIGH CARDINALITY

Distinct160
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
809 
1
 
278
2
 
156
3
 
100
Other values (155)
725 

Length

Max length5
Median length1
Mean length1.0796
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)1.2%

Sample

1st row59609
2nd row384
3rd row124
4th row63
5th row40

Common Values

ValueCountFrequency (%)
*5432
72.4%
0809
 
10.8%
1278
 
3.7%
2156
 
2.1%
3100
 
1.3%
466
 
0.9%
563
 
0.8%
646
 
0.6%
838
 
0.5%
731
 
0.4%
Other values (150)481
 
6.4%

Length

2022-11-06T21:12:02.741581image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0809
 
10.8%
1278
 
3.7%
2156
 
2.1%
3100
 
1.3%
466
 
0.9%
563
 
0.8%
646
 
0.6%
838
 
0.5%
n/d31
 
0.4%
Other values (150)481
 
6.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCLIM_PMEN
Categorical

HIGH CARDINALITY

Distinct122
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1023 
1
 
294
2
 
139
3
 
103
Other values (117)
 
509

Length

Max length5
Median length1
Mean length1.052533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)1.0%

Sample

1st row40272
2nd row212
3rd row46
4th row38
5th row25

Common Values

ValueCountFrequency (%)
*5432
72.4%
01023
 
13.6%
1294
 
3.9%
2139
 
1.9%
3103
 
1.4%
458
 
0.8%
644
 
0.6%
542
 
0.6%
N/D31
 
0.4%
729
 
0.4%
Other values (112)305
 
4.1%

Length

2022-11-06T21:12:02.934586image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01023
 
13.6%
1294
 
3.9%
2139
 
1.9%
3103
 
1.4%
458
 
0.8%
644
 
0.6%
542
 
0.6%
n/d31
 
0.4%
729
 
0.4%
Other values (112)305
 
4.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PSIND_LIM
Categorical

HIGH CARDINALITY

Distinct628
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size427.5 KiB
*
5432 
9
 
65
10
 
60
12
 
59
8
 
58
Other values (623)
1826 

Length

Max length7
Median length1
Mean length1.3576
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique406 ?
Unique (%)5.4%

Sample

1st row2458126
2nd row13794
3rd row3852
4th row2012
5th row1250

Common Values

ValueCountFrequency (%)
*5432
72.4%
965
 
0.9%
1060
 
0.8%
1259
 
0.8%
858
 
0.8%
658
 
0.8%
551
 
0.7%
1149
 
0.7%
445
 
0.6%
745
 
0.6%
Other values (618)1578
 
21.0%

Length

2022-11-06T21:12:03.108374image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
965
 
0.9%
1060
 
0.8%
1259
 
0.8%
858
 
0.8%
658
 
0.8%
551
 
0.7%
1149
 
0.7%
445
 
0.6%
745
 
0.6%
Other values (618)1578
 
21.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3A5_NOA
Categorical

HIGH CARDINALITY

Distinct145
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
788 
1
 
376
2
 
185
3
 
109
Other values (140)
610 

Length

Max length5
Median length1
Mean length1.0668
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)1.2%

Sample

1st row65700
2nd row258
3rd row124
4th row22
5th row13

Common Values

ValueCountFrequency (%)
*5432
72.4%
0788
 
10.5%
1376
 
5.0%
2185
 
2.5%
3109
 
1.5%
464
 
0.9%
559
 
0.8%
635
 
0.5%
N/D31
 
0.4%
831
 
0.4%
Other values (135)390
 
5.2%

Length

2022-11-06T21:12:03.281369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0788
 
10.5%
1376
 
5.0%
2185
 
2.5%
3109
 
1.5%
464
 
0.9%
559
 
0.8%
635
 
0.5%
n/d31
 
0.4%
831
 
0.4%
Other values (135)390
 
5.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3A5_NOA_F
Categorical

HIGH CARDINALITY

Distinct114
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1075 
1
 
345
2
 
132
4
 
68
Other values (109)
 
448

Length

Max length5
Median length1
Mean length1.047066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)1.0%

Sample

1st row32321
2nd row117
3rd row66
4th row9
5th row4

Common Values

ValueCountFrequency (%)
*5432
72.4%
01075
 
14.3%
1345
 
4.6%
2132
 
1.8%
468
 
0.9%
367
 
0.9%
541
 
0.5%
N/D31
 
0.4%
629
 
0.4%
920
 
0.3%
Other values (104)260
 
3.5%

Length

2022-11-06T21:12:03.466369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01075
 
14.3%
1345
 
4.6%
2132
 
1.8%
468
 
0.9%
367
 
0.9%
541
 
0.5%
n/d31
 
0.4%
629
 
0.4%
920
 
0.3%
Other values (104)260
 
3.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P3A5_NOA_M
Categorical

HIGH CARDINALITY

Distinct110
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1021 
1
 
353
2
 
165
3
 
86
Other values (105)
 
443

Length

Max length5
Median length1
Mean length1.046933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)0.9%

Sample

1st row33379
2nd row141
3rd row58
4th row13
5th row9

Common Values

ValueCountFrequency (%)
*5432
72.4%
01021
 
13.6%
1353
 
4.7%
2165
 
2.2%
386
 
1.1%
461
 
0.8%
541
 
0.5%
635
 
0.5%
N/D31
 
0.4%
822
 
0.3%
Other values (100)253
 
3.4%

Length

2022-11-06T21:12:03.645372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01021
 
13.6%
1353
 
4.7%
2165
 
2.2%
386
 
1.1%
461
 
0.8%
541
 
0.5%
635
 
0.5%
n/d31
 
0.4%
822
 
0.3%
Other values (100)253
 
3.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P6A11_NOA
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct83
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1361 
1
 
259
2
 
125
3
 
59
Other values (78)
 
264

Length

Max length5
Median length1
Mean length1.029066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)0.7%

Sample

1st row11013
2nd row71
3rd row32
4th row6
5th row3

Common Values

ValueCountFrequency (%)
*5432
72.4%
01361
 
18.1%
1259
 
3.5%
2125
 
1.7%
359
 
0.8%
439
 
0.5%
532
 
0.4%
N/D31
 
0.4%
713
 
0.2%
613
 
0.2%
Other values (73)136
 
1.8%

Length

2022-11-06T21:12:03.847378image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01361
 
18.1%
1259
 
3.5%
2125
 
1.7%
359
 
0.8%
439
 
0.5%
532
 
0.4%
n/d31
 
0.4%
713
 
0.2%
613
 
0.2%
Other values (73)136
 
1.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P6A11_NOAF
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct59
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1568 
1
 
219
2
 
83
3
 
34
Other values (54)
 
164

Length

Max length4
Median length1
Mean length1.022133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)0.4%

Sample

1st row5155
2nd row32
3rd row18
4th row1
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01568
 
20.9%
1219
 
2.9%
283
 
1.1%
334
 
0.5%
N/D31
 
0.4%
415
 
0.2%
513
 
0.2%
610
 
0.1%
109
 
0.1%
Other values (49)86
 
1.1%

Length

2022-11-06T21:12:04.038372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01568
 
20.9%
1219
 
2.9%
283
 
1.1%
334
 
0.5%
n/d31
 
0.4%
415
 
0.2%
513
 
0.2%
610
 
0.1%
109
 
0.1%
Other values (49)86
 
1.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P6A11_NOAM
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct67
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1502 
1
 
245
2
 
84
3
 
40
Other values (62)
 
197

Length

Max length4
Median length1
Mean length1.022666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)0.5%

Sample

1st row5858
2nd row39
3rd row14
4th row5
5th row3

Common Values

ValueCountFrequency (%)
*5432
72.4%
01502
 
20.0%
1245
 
3.3%
284
 
1.1%
340
 
0.5%
N/D31
 
0.4%
429
 
0.4%
519
 
0.3%
613
 
0.2%
710
 
0.1%
Other values (57)95
 
1.3%

Length

2022-11-06T21:12:04.201370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01502
 
20.0%
1245
 
3.3%
284
 
1.1%
340
 
0.5%
n/d31
 
0.4%
429
 
0.4%
519
 
0.3%
613
 
0.2%
710
 
0.1%
Other values (57)95
 
1.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P12A14NOA
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct85
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1285 
1
 
275
2
 
139
3
 
85
Other values (80)
 
284

Length

Max length5
Median length1
Mean length1.03
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)0.7%

Sample

1st row10145
2nd row76
3rd row29
4th row7
5th row5

Common Values

ValueCountFrequency (%)
*5432
72.4%
01285
 
17.1%
1275
 
3.7%
2139
 
1.9%
385
 
1.1%
636
 
0.5%
N/D31
 
0.4%
431
 
0.4%
522
 
0.3%
815
 
0.2%
Other values (75)149
 
2.0%

Length

2022-11-06T21:12:04.379369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01285
 
17.1%
1275
 
3.7%
2139
 
1.9%
385
 
1.1%
636
 
0.5%
n/d31
 
0.4%
431
 
0.4%
522
 
0.3%
815
 
0.2%
Other values (75)149
 
2.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P12A14NOAF
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct65
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1541 
1
 
223
2
 
87
3
 
39
Other values (60)
 
178

Length

Max length4
Median length1
Mean length1.0216
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)0.5%

Sample

1st row4291
2nd row25
3rd row13
4th row3
5th row3

Common Values

ValueCountFrequency (%)
*5432
72.4%
01541
 
20.5%
1223
 
3.0%
287
 
1.2%
339
 
0.5%
N/D31
 
0.4%
425
 
0.3%
518
 
0.2%
612
 
0.2%
76
 
0.1%
Other values (55)86
 
1.1%

Length

2022-11-06T21:12:04.557372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01541
 
20.5%
1223
 
3.0%
287
 
1.2%
339
 
0.5%
n/d31
 
0.4%
425
 
0.3%
518
 
0.2%
612
 
0.2%
76
 
0.1%
Other values (55)86
 
1.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P12A14NOAM
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct71
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1417 
1
 
276
2
 
111
3
 
49
Other values (66)
 
215

Length

Max length4
Median length1
Mean length1.023333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)0.6%

Sample

1st row5854
2nd row51
3rd row16
4th row4
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01417
 
18.9%
1276
 
3.7%
2111
 
1.5%
349
 
0.7%
N/D31
 
0.4%
529
 
0.4%
427
 
0.4%
618
 
0.2%
710
 
0.1%
Other values (61)100
 
1.3%

Length

2022-11-06T21:12:04.956370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01417
 
18.9%
1276
 
3.7%
2111
 
1.5%
349
 
0.7%
n/d31
 
0.4%
529
 
0.4%
427
 
0.4%
618
 
0.2%
710
 
0.1%
Other values (61)100
 
1.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15A17A
Categorical

HIGH CARDINALITY

Distinct180
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
790 
1
 
265
2
 
142
3
 
94
Other values (175)
777 

Length

Max length6
Median length1
Mean length1.092533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)1.5%

Sample

1st row117628
2nd row300
3rd row132
4th row87
5th row57

Common Values

ValueCountFrequency (%)
*5432
72.4%
0790
 
10.5%
1265
 
3.5%
2142
 
1.9%
394
 
1.3%
457
 
0.8%
847
 
0.6%
541
 
0.5%
639
 
0.5%
736
 
0.5%
Other values (170)557
 
7.4%

Length

2022-11-06T21:12:05.168372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0790
 
10.5%
1265
 
3.5%
2142
 
1.9%
394
 
1.3%
457
 
0.8%
847
 
0.6%
541
 
0.5%
639
 
0.5%
736
 
0.5%
Other values (170)557
 
7.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15A17A_F
Categorical

HIGH CARDINALITY

Distinct136
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
990 
1
 
255
2
 
139
3
 
67
Other values (131)
617 

Length

Max length5
Median length1
Mean length1.064933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)1.1%

Sample

1st row59793
2nd row151
3rd row62
4th row51
5th row36

Common Values

ValueCountFrequency (%)
*5432
72.4%
0990
 
13.2%
1255
 
3.4%
2139
 
1.9%
367
 
0.9%
560
 
0.8%
456
 
0.7%
638
 
0.5%
737
 
0.5%
933
 
0.4%
Other values (126)393
 
5.2%

Length

2022-11-06T21:12:05.384373image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0990
 
13.2%
1255
 
3.4%
2139
 
1.9%
367
 
0.9%
560
 
0.8%
456
 
0.7%
638
 
0.5%
737
 
0.5%
933
 
0.4%
Other values (126)393
 
5.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15A17A_M
Categorical

HIGH CARDINALITY

Distinct140
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
973 
1
 
269
2
 
123
4
 
84
Other values (135)
619 

Length

Max length5
Median length1
Mean length1.066133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)1.2%

Sample

1st row57835
2nd row149
3rd row70
4th row36
5th row21

Common Values

ValueCountFrequency (%)
*5432
72.4%
0973
 
13.0%
1269
 
3.6%
2123
 
1.6%
484
 
1.1%
382
 
1.1%
553
 
0.7%
645
 
0.6%
1132
 
0.4%
N/D31
 
0.4%
Other values (130)376
 
5.0%

Length

2022-11-06T21:12:05.616370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0973
 
13.0%
1269
 
3.6%
2123
 
1.6%
484
 
1.1%
382
 
1.1%
553
 
0.7%
645
 
0.6%
1132
 
0.4%
n/d31
 
0.4%
Other values (130)376
 
5.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P18A24A
Categorical

HIGH CARDINALITY

Distinct149
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
956 
1
 
248
2
 
119
3
 
83
Other values (144)
662 

Length

Max length6
Median length1
Mean length1.0732
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)1.2%

Sample

1st row127769
2nd row223
3rd row86
4th row55
5th row32

Common Values

ValueCountFrequency (%)
*5432
72.4%
0956
 
12.7%
1248
 
3.3%
2119
 
1.6%
383
 
1.1%
470
 
0.9%
553
 
0.7%
646
 
0.6%
739
 
0.5%
832
 
0.4%
Other values (139)422
 
5.6%

Length

2022-11-06T21:12:05.809371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0956
 
12.7%
1248
 
3.3%
2119
 
1.6%
383
 
1.1%
470
 
0.9%
553
 
0.7%
646
 
0.6%
739
 
0.5%
832
 
0.4%
Other values (139)422
 
5.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P18A24A_F
Categorical

HIGH CARDINALITY

Distinct126
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1121 
1
 
246
2
 
128
3
 
89
Other values (121)
 
484

Length

Max length5
Median length1
Mean length1.0528
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)1.1%

Sample

1st row65270
2nd row88
3rd row41
4th row32
5th row17

Common Values

ValueCountFrequency (%)
*5432
72.4%
01121
 
14.9%
1246
 
3.3%
2128
 
1.7%
389
 
1.2%
468
 
0.9%
632
 
0.4%
532
 
0.4%
N/D31
 
0.4%
728
 
0.4%
Other values (116)293
 
3.9%

Length

2022-11-06T21:12:06.019369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01121
 
14.9%
1246
 
3.3%
2128
 
1.7%
389
 
1.2%
468
 
0.9%
632
 
0.4%
532
 
0.4%
n/d31
 
0.4%
728
 
0.4%
Other values (116)293
 
3.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P18A24A_M
Categorical

HIGH CARDINALITY

Distinct123
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1149 
1
 
242
2
 
123
3
 
83
Other values (118)
 
471

Length

Max length5
Median length1
Mean length1.049466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)1.1%

Sample

1st row62499
2nd row135
3rd row45
4th row23
5th row15

Common Values

ValueCountFrequency (%)
*5432
72.4%
01149
 
15.3%
1242
 
3.2%
2123
 
1.6%
383
 
1.1%
453
 
0.7%
552
 
0.7%
638
 
0.5%
732
 
0.4%
N/D31
 
0.4%
Other values (113)265
 
3.5%

Length

2022-11-06T21:12:06.277373image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01149
 
15.3%
1242
 
3.2%
2123
 
1.6%
383
 
1.1%
453
 
0.7%
552
 
0.7%
638
 
0.5%
732
 
0.4%
n/d31
 
0.4%
Other values (113)265
 
3.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P8A14AN
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct76
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1382 
1
 
256
2
 
117
3
 
60
Other values (71)
 
253

Length

Max length4
Median length1
Mean length1.024933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)0.6%

Sample

1st row8184
2nd row61
3rd row20
4th row4
5th row3

Common Values

ValueCountFrequency (%)
*5432
72.4%
01382
 
18.4%
1256
 
3.4%
2117
 
1.6%
360
 
0.8%
446
 
0.6%
632
 
0.4%
N/D31
 
0.4%
520
 
0.3%
812
 
0.2%
Other values (66)112
 
1.5%

Length

2022-11-06T21:12:06.475369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01382
 
18.4%
1256
 
3.4%
2117
 
1.6%
360
 
0.8%
446
 
0.6%
632
 
0.4%
n/d31
 
0.4%
520
 
0.3%
812
 
0.2%
Other values (66)112
 
1.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P8A14AN_F
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct55
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1641 
1
 
189
2
 
52
3
 
42
Other values (50)
 
144

Length

Max length4
Median length1
Mean length1.019333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)0.4%

Sample

1st row3312
2nd row31
3rd row6
4th row2
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01641
 
21.9%
1189
 
2.5%
252
 
0.7%
342
 
0.6%
N/D31
 
0.4%
419
 
0.3%
510
 
0.1%
87
 
0.1%
136
 
0.1%
Other values (45)71
 
0.9%

Length

2022-11-06T21:12:06.659384image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01641
 
21.9%
1189
 
2.5%
252
 
0.7%
342
 
0.6%
n/d31
 
0.4%
419
 
0.3%
510
 
0.1%
87
 
0.1%
136
 
0.1%
Other values (45)71
 
0.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P8A14AN_M
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct67
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1495 
1
 
236
2
 
104
3
 
50
Other values (62)
 
183

Length

Max length4
Median length1
Mean length1.021733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)0.6%

Sample

1st row4872
2nd row30
3rd row14
4th row2
5th row1

Common Values

ValueCountFrequency (%)
*5432
72.4%
01495
 
19.9%
1236
 
3.1%
2104
 
1.4%
350
 
0.7%
431
 
0.4%
N/D31
 
0.4%
520
 
0.3%
613
 
0.2%
85
 
0.1%
Other values (57)83
 
1.1%

Length

2022-11-06T21:12:06.857372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01495
 
19.9%
1236
 
3.1%
2104
 
1.4%
350
 
0.7%
431
 
0.4%
n/d31
 
0.4%
520
 
0.3%
613
 
0.2%
85
 
0.1%
Other values (57)83
 
1.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15YM_AN
Categorical

HIGH CARDINALITY

Distinct153
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
 
541
1
 
299
2
 
186
3
 
114
Other values (148)
928 

Length

Max length5
Median length1
Mean length1.094533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)1.1%

Sample

1st row44134
2nd row799
3rd row285
4th row53
5th row27

Common Values

ValueCountFrequency (%)
*5432
72.4%
0541
 
7.2%
1299
 
4.0%
2186
 
2.5%
3114
 
1.5%
488
 
1.2%
568
 
0.9%
758
 
0.8%
655
 
0.7%
946
 
0.6%
Other values (143)613
 
8.2%

Length

2022-11-06T21:12:07.067368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0541
 
7.2%
1299
 
4.0%
2186
 
2.5%
3114
 
1.5%
488
 
1.2%
568
 
0.9%
758
 
0.8%
655
 
0.7%
946
 
0.6%
Other values (143)613
 
8.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15YM_AN_F
Categorical

HIGH CARDINALITY

Distinct115
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
855 
1
 
314
2
 
149
3
 
112
Other values (110)
638 

Length

Max length5
Median length1
Mean length1.057866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)0.9%

Sample

1st row21334
2nd row223
3rd row92
4th row21
5th row11

Common Values

ValueCountFrequency (%)
*5432
72.4%
0855
 
11.4%
1314
 
4.2%
2149
 
2.0%
3112
 
1.5%
477
 
1.0%
568
 
0.9%
647
 
0.6%
841
 
0.5%
736
 
0.5%
Other values (105)369
 
4.9%

Length

2022-11-06T21:12:07.292369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0855
 
11.4%
1314
 
4.2%
2149
 
2.0%
3112
 
1.5%
477
 
1.0%
568
 
0.9%
647
 
0.6%
841
 
0.5%
736
 
0.5%
Other values (105)369
 
4.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15YM_AN_M
Categorical

HIGH CARDINALITY

Distinct123
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
670 
1
 
351
2
 
193
3
 
119
Other values (118)
735 

Length

Max length5
Median length1
Mean length1.065466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)0.9%

Sample

1st row22800
2nd row576
3rd row193
4th row32
5th row16

Common Values

ValueCountFrequency (%)
*5432
72.4%
0670
 
8.9%
1351
 
4.7%
2193
 
2.6%
3119
 
1.6%
495
 
1.3%
583
 
1.1%
650
 
0.7%
746
 
0.6%
835
 
0.5%
Other values (113)426
 
5.7%

Length

2022-11-06T21:12:07.496370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0670
 
8.9%
1351
 
4.7%
2193
 
2.6%
3119
 
1.6%
495
 
1.3%
583
 
1.1%
650
 
0.7%
746
 
0.6%
835
 
0.5%
Other values (113)426
 
5.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15YM_SE
Categorical

HIGH CARDINALITY

Distinct162
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
 
502
1
 
303
2
 
177
3
 
124
Other values (157)
962 

Length

Max length5
Median length1
Mean length1.098266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)1.3%

Sample

1st row55753
2nd row1008
3rd row329
4th row47
5th row24

Common Values

ValueCountFrequency (%)
*5432
72.4%
0502
 
6.7%
1303
 
4.0%
2177
 
2.4%
3124
 
1.7%
499
 
1.3%
576
 
1.0%
670
 
0.9%
746
 
0.6%
843
 
0.6%
Other values (152)628
 
8.4%

Length

2022-11-06T21:12:07.735371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0502
 
6.7%
1303
 
4.0%
2177
 
2.4%
3124
 
1.7%
499
 
1.3%
576
 
1.0%
670
 
0.9%
746
 
0.6%
843
 
0.6%
Other values (152)628
 
8.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15YM_SE_F
Categorical

HIGH CARDINALITY

Distinct122
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
828 
1
 
310
2
 
190
3
 
99
Other values (117)
641 

Length

Max length5
Median length1
Mean length1.057066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)1.0%

Sample

1st row26531
2nd row233
3rd row114
4th row20
5th row11

Common Values

ValueCountFrequency (%)
*5432
72.4%
0828
 
11.0%
1310
 
4.1%
2190
 
2.5%
399
 
1.3%
485
 
1.1%
563
 
0.8%
649
 
0.7%
744
 
0.6%
844
 
0.6%
Other values (112)356
 
4.7%

Length

2022-11-06T21:12:07.961369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0828
 
11.0%
1310
 
4.1%
2190
 
2.5%
399
 
1.3%
485
 
1.1%
563
 
0.8%
649
 
0.7%
744
 
0.6%
844
 
0.6%
Other values (112)356
 
4.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15YM_SE_M
Categorical

HIGH CARDINALITY

Distinct130
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
635 
1
 
350
2
 
185
3
 
143
Other values (125)
755 

Length

Max length5
Median length1
Mean length1.0692
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)1.1%

Sample

1st row29222
2nd row775
3rd row215
4th row27
5th row13

Common Values

ValueCountFrequency (%)
*5432
72.4%
0635
 
8.5%
1350
 
4.7%
2185
 
2.5%
3143
 
1.9%
4108
 
1.4%
580
 
1.1%
649
 
0.7%
739
 
0.5%
1035
 
0.5%
Other values (120)444
 
5.9%

Length

2022-11-06T21:12:08.182410image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0635
 
8.5%
1350
 
4.7%
2185
 
2.5%
3143
 
1.9%
4108
 
1.4%
580
 
1.1%
649
 
0.7%
739
 
0.5%
1035
 
0.5%
Other values (120)444
 
5.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15PRI_IN
Categorical

HIGH CARDINALITY

Distinct266
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
1
 
196
0
 
187
2
 
182
3
 
151
Other values (261)
1352 

Length

Max length6
Median length1
Mean length1.167333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)1.9%

Sample

1st row145810
2nd row2531
3rd row834
4th row242
5th row149

Common Values

ValueCountFrequency (%)
*5432
72.4%
1196
 
2.6%
0187
 
2.5%
2182
 
2.4%
3151
 
2.0%
4125
 
1.7%
574
 
1.0%
660
 
0.8%
753
 
0.7%
844
 
0.6%
Other values (256)996
 
13.3%

Length

2022-11-06T21:12:08.385368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1196
 
2.6%
0187
 
2.5%
2182
 
2.4%
3151
 
2.0%
4125
 
1.7%
574
 
1.0%
660
 
0.8%
753
 
0.7%
844
 
0.6%
Other values (256)996
 
13.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15PRI_INF
Categorical

HIGH CARDINALITY

Distinct187
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
 
429
1
 
335
2
 
200
3
 
110
Other values (182)
994 

Length

Max length5
Median length1
Mean length1.11
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)1.3%

Sample

1st row69684
2nd row664
3rd row253
4th row88
5th row50

Common Values

ValueCountFrequency (%)
*5432
72.4%
0429
 
5.7%
1335
 
4.5%
2200
 
2.7%
3110
 
1.5%
481
 
1.1%
570
 
0.9%
659
 
0.8%
749
 
0.7%
840
 
0.5%
Other values (177)695
 
9.3%

Length

2022-11-06T21:12:08.584370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0429
 
5.7%
1335
 
4.5%
2200
 
2.7%
3110
 
1.5%
481
 
1.1%
570
 
0.9%
659
 
0.8%
749
 
0.7%
840
 
0.5%
Other values (177)695
 
9.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15PRI_INM
Categorical

HIGH CARDINALITY

Distinct209
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
1
 
283
0
 
277
2
 
229
3
 
152
Other values (204)
1127 

Length

Max length5
Median length1
Mean length1.128
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)1.5%

Sample

1st row76126
2nd row1867
3rd row581
4th row154
5th row99

Common Values

ValueCountFrequency (%)
*5432
72.4%
1283
 
3.8%
0277
 
3.7%
2229
 
3.1%
3152
 
2.0%
492
 
1.2%
574
 
1.0%
856
 
0.7%
654
 
0.7%
750
 
0.7%
Other values (199)801
 
10.7%

Length

2022-11-06T21:12:08.832369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1283
 
3.8%
0277
 
3.7%
2229
 
3.1%
3152
 
2.0%
492
 
1.2%
574
 
1.0%
856
 
0.7%
654
 
0.7%
750
 
0.7%
Other values (199)801
 
10.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15PRI_CO
Categorical

HIGH CARDINALITY

Distinct287
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
1
 
224
2
 
203
0
 
190
3
 
144
Other values (282)
1307 

Length

Max length6
Median length1
Mean length1.1696
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)2.1%

Sample

1st row214349
2nd row2747
3rd row690
4th row355
5th row257

Common Values

ValueCountFrequency (%)
*5432
72.4%
1224
 
3.0%
2203
 
2.7%
0190
 
2.5%
3144
 
1.9%
4104
 
1.4%
574
 
1.0%
660
 
0.8%
747
 
0.6%
840
 
0.5%
Other values (277)982
 
13.1%

Length

2022-11-06T21:12:09.040368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1224
 
3.0%
2203
 
2.7%
0190
 
2.5%
3144
 
1.9%
4104
 
1.4%
574
 
1.0%
660
 
0.8%
747
 
0.6%
840
 
0.5%
Other values (277)982
 
13.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15PRI_COF
Categorical

HIGH CARDINALITY

Distinct210
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
428
1
 
351
2
 
192
3
 
107
Other values (205)
990 

Length

Max length6
Median length1
Mean length1.1164
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)1.7%

Sample

1st row107284
2nd row823
3rd row277
4th row154
5th row114

Common Values

ValueCountFrequency (%)
*5432
72.4%
0428
 
5.7%
1351
 
4.7%
2192
 
2.6%
3107
 
1.4%
475
 
1.0%
562
 
0.8%
657
 
0.8%
845
 
0.6%
743
 
0.6%
Other values (200)708
 
9.4%

Length

2022-11-06T21:12:09.217372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0428
 
5.7%
1351
 
4.7%
2192
 
2.6%
3107
 
1.4%
475
 
1.0%
562
 
0.8%
657
 
0.8%
845
 
0.6%
743
 
0.6%
Other values (200)708
 
9.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15PRI_COM
Categorical

HIGH CARDINALITY

Distinct222
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
320
1
 
310
2
 
200
3
 
147
Other values (217)
1091 

Length

Max length6
Median length1
Mean length1.128266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)1.7%

Sample

1st row107065
2nd row1924
3rd row413
4th row201
5th row143

Common Values

ValueCountFrequency (%)
*5432
72.4%
0320
 
4.3%
1310
 
4.1%
2200
 
2.7%
3147
 
2.0%
479
 
1.1%
568
 
0.9%
760
 
0.8%
656
 
0.7%
942
 
0.6%
Other values (212)786
 
10.5%

Length

2022-11-06T21:12:09.381370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0320
 
4.3%
1310
 
4.1%
2200
 
2.7%
3147
 
2.0%
479
 
1.1%
568
 
0.9%
760
 
0.8%
656
 
0.7%
942
 
0.6%
Other values (212)786
 
10.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15SEC_IN
Categorical

HIGH CARDINALITY

Distinct172
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
607 
1
 
329
2
 
188
3
 
103
Other values (167)
841 

Length

Max length5
Median length1
Mean length1.0916
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)1.4%

Sample

1st row77822
2nd row1686
3rd row201
4th row86
5th row43

Common Values

ValueCountFrequency (%)
*5432
72.4%
0607
 
8.1%
1329
 
4.4%
2188
 
2.5%
3103
 
1.4%
488
 
1.2%
575
 
1.0%
649
 
0.7%
743
 
0.6%
1031
 
0.4%
Other values (162)555
 
7.4%

Length

2022-11-06T21:12:09.550380image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0607
 
8.1%
1329
 
4.4%
2188
 
2.5%
3103
 
1.4%
488
 
1.2%
575
 
1.0%
649
 
0.7%
743
 
0.6%
1031
 
0.4%
Other values (162)555
 
7.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15SEC_INF
Categorical

HIGH CARDINALITY

Distinct124
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
921 
1
 
353
2
 
146
3
 
108
Other values (119)
 
540

Length

Max length5
Median length1
Mean length1.0544
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)1.0%

Sample

1st row33335
2nd row238
3rd row73
4th row35
5th row18

Common Values

ValueCountFrequency (%)
*5432
72.4%
0921
 
12.3%
1353
 
4.7%
2146
 
1.9%
3108
 
1.4%
471
 
0.9%
544
 
0.6%
642
 
0.6%
736
 
0.5%
N/D31
 
0.4%
Other values (114)316
 
4.2%

Length

2022-11-06T21:12:09.742376image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0921
 
12.3%
1353
 
4.7%
2146
 
1.9%
3108
 
1.4%
471
 
0.9%
544
 
0.6%
642
 
0.6%
736
 
0.5%
n/d31
 
0.4%
Other values (114)316
 
4.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15SEC_INM
Categorical

HIGH CARDINALITY

Distinct145
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
781 
1
 
325
2
 
180
3
 
101
Other values (140)
681 

Length

Max length5
Median length1
Mean length1.0688
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)1.2%

Sample

1st row44487
2nd row1448
3rd row128
4th row51
5th row25

Common Values

ValueCountFrequency (%)
*5432
72.4%
0781
 
10.4%
1325
 
4.3%
2180
 
2.4%
3101
 
1.3%
483
 
1.1%
553
 
0.7%
748
 
0.6%
643
 
0.6%
838
 
0.5%
Other values (135)416
 
5.5%

Length

2022-11-06T21:12:09.942372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0781
 
10.4%
1325
 
4.3%
2180
 
2.4%
3101
 
1.3%
483
 
1.1%
553
 
0.7%
748
 
0.6%
643
 
0.6%
838
 
0.5%
Other values (135)416
 
5.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15SEC_CO
Categorical

HIGH CARDINALITY

Distinct383
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
2
 
184
1
 
158
3
 
140
4
 
128
Other values (378)
1458 

Length

Max length6
Median length1
Mean length1.208133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)3.0%

Sample

1st row581531
2nd row3540
3rd row911
4th row635
5th row399

Common Values

ValueCountFrequency (%)
*5432
72.4%
2184
 
2.5%
1158
 
2.1%
3140
 
1.9%
4128
 
1.7%
0127
 
1.7%
579
 
1.1%
656
 
0.7%
756
 
0.7%
855
 
0.7%
Other values (373)1085
 
14.5%

Length

2022-11-06T21:12:10.152368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
2184
 
2.5%
1158
 
2.1%
3140
 
1.9%
4128
 
1.7%
0127
 
1.7%
579
 
1.1%
756
 
0.7%
656
 
0.7%
855
 
0.7%
Other values (373)1085
 
14.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15SEC_COF
Categorical

HIGH CARDINALITY

Distinct281
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
1
 
291
0
 
291
2
 
196
3
 
140
Other values (276)
1150 

Length

Max length6
Median length1
Mean length1.158666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)2.0%

Sample

1st row296908
2nd row1180
3rd row402
4th row294
5th row195

Common Values

ValueCountFrequency (%)
*5432
72.4%
1291
 
3.9%
0291
 
3.9%
2196
 
2.6%
3140
 
1.9%
479
 
1.1%
566
 
0.9%
654
 
0.7%
833
 
0.4%
N/D31
 
0.4%
Other values (271)887
 
11.8%

Length

2022-11-06T21:12:10.348372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1291
 
3.9%
0291
 
3.9%
2196
 
2.6%
3140
 
1.9%
479
 
1.1%
566
 
0.9%
654
 
0.7%
833
 
0.4%
n/d31
 
0.4%
Other values (271)887
 
11.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P15SEC_COM
Categorical

HIGH CARDINALITY

Distinct293
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
1
 
286
0
 
239
2
 
226
3
 
142
Other values (288)
1175 

Length

Max length6
Median length1
Mean length1.162533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)2.2%

Sample

1st row284623
2nd row2360
3rd row509
4th row341
5th row204

Common Values

ValueCountFrequency (%)
*5432
72.4%
1286
 
3.8%
0239
 
3.2%
2226
 
3.0%
3142
 
1.9%
491
 
1.2%
555
 
0.7%
640
 
0.5%
736
 
0.5%
834
 
0.5%
Other values (283)919
 
12.3%

Length

2022-11-06T21:12:10.504371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1286
 
3.8%
0239
 
3.2%
2226
 
3.0%
3142
 
1.9%
491
 
1.2%
555
 
0.7%
640
 
0.5%
736
 
0.5%
834
 
0.5%
Other values (283)919
 
12.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P18YM_PB
Categorical

HIGH CARDINALITY

Distinct343
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size426.3 KiB
*
5432 
0
 
247
1
 
220
2
 
169
3
 
135
Other values (338)
1297 

Length

Max length7
Median length1
Mean length1.1884
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique195 ?
Unique (%)2.6%

Sample

1st row1051659
2nd row2617
3rd row709
4th row541
5th row371

Common Values

ValueCountFrequency (%)
*5432
72.4%
0247
 
3.3%
1220
 
2.9%
2169
 
2.3%
3135
 
1.8%
499
 
1.3%
675
 
1.0%
574
 
1.0%
756
 
0.7%
N/D31
 
0.4%
Other values (333)962
 
12.8%

Length

2022-11-06T21:12:10.885371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0247
 
3.3%
1220
 
2.9%
2169
 
2.3%
3135
 
1.8%
499
 
1.3%
675
 
1.0%
574
 
1.0%
756
 
0.7%
n/d31
 
0.4%
Other values (333)962
 
12.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P18YM_PB_F
Categorical

HIGH CARDINALITY

Distinct265
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size426.0 KiB
*
5432 
0
 
453
1
 
316
2
 
179
3
 
103
Other values (260)
1017 

Length

Max length6
Median length1
Mean length1.1408
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique161 ?
Unique (%)2.1%

Sample

1st row532419
2nd row859
3rd row323
4th row315
5th row205

Common Values

ValueCountFrequency (%)
*5432
72.4%
0453
 
6.0%
1316
 
4.2%
2179
 
2.4%
3103
 
1.4%
499
 
1.3%
548
 
0.6%
841
 
0.5%
638
 
0.5%
N/D31
 
0.4%
Other values (255)760
 
10.1%

Length

2022-11-06T21:12:11.109370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0453
 
6.0%
1316
 
4.2%
2179
 
2.4%
3103
 
1.4%
499
 
1.3%
548
 
0.6%
841
 
0.5%
638
 
0.5%
n/d31
 
0.4%
Other values (255)760
 
10.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P18YM_PB_M
Categorical

HIGH CARDINALITY

Distinct263
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size426.0 KiB
*
5432 
0
 
391
1
 
292
2
 
191
3
 
119
Other values (258)
1075 

Length

Max length6
Median length1
Mean length1.143866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)2.1%

Sample

1st row519240
2nd row1758
3rd row386
4th row226
5th row166

Common Values

ValueCountFrequency (%)
*5432
72.4%
0391
 
5.2%
1292
 
3.9%
2191
 
2.5%
3119
 
1.6%
491
 
1.2%
558
 
0.8%
645
 
0.6%
842
 
0.6%
938
 
0.5%
Other values (253)801
 
10.7%

Length

2022-11-06T21:12:11.307370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0391
 
5.2%
1292
 
3.9%
2191
 
2.5%
3119
 
1.6%
491
 
1.2%
558
 
0.8%
645
 
0.6%
842
 
0.6%
938
 
0.5%
Other values (253)801
 
10.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

GRAPROES
Categorical

HIGH CARDINALITY

Distinct645
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size430.6 KiB
*
5432 
N/D
 
31
7
 
19
6
 
16
8
 
15
Other values (640)
1987 

Length

Max length5
Median length1
Mean length1.774533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)2.8%

Sample

1st row10.4
2nd row7.25
3rd row7.1
4th row8.78
5th row8.91

Common Values

ValueCountFrequency (%)
*5432
72.4%
N/D31
 
0.4%
719
 
0.3%
616
 
0.2%
815
 
0.2%
7.513
 
0.2%
8.513
 
0.2%
8.612
 
0.2%
7.6412
 
0.2%
7.6711
 
0.1%
Other values (635)1926
 
25.7%

Length

2022-11-06T21:12:11.522376image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
n/d31
 
0.4%
719
 
0.3%
616
 
0.2%
815
 
0.2%
7.513
 
0.2%
8.513
 
0.2%
8.612
 
0.2%
7.6412
 
0.2%
7.6711
 
0.1%
Other values (635)1926
 
25.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

GRAPROES_F
Categorical

HIGH CARDINALITY

Distinct585
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size429.8 KiB
*
5432 
9
 
57
6
 
52
8
 
42
7
 
39
Other values (580)
1878 

Length

Max length5
Median length1
Mean length1.671466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)2.6%

Sample

1st row10.45
2nd row7.77
3rd row7.6
4th row9.38
5th row9.45

Common Values

ValueCountFrequency (%)
*5432
72.4%
957
 
0.8%
652
 
0.7%
842
 
0.6%
739
 
0.5%
033
 
0.4%
N/D31
 
0.4%
7.531
 
0.4%
529
 
0.4%
8.527
 
0.4%
Other values (575)1727
 
23.0%

Length

2022-11-06T21:12:11.739371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
957
 
0.8%
652
 
0.7%
842
 
0.6%
739
 
0.5%
033
 
0.4%
n/d31
 
0.4%
7.531
 
0.4%
529
 
0.4%
8.527
 
0.4%
Other values (575)1727
 
23.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

GRAPROES_M
Categorical

HIGH CARDINALITY

Distinct598
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size430.2 KiB
*
5432 
6
 
35
7
 
33
N/D
 
31
5
 
27
Other values (593)
1942 

Length

Max length5
Median length1
Mean length1.7196
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique188 ?
Unique (%)2.5%

Sample

1st row10.35
2nd row7
3rd row6.78
4th row8.22
5th row8.4

Common Values

ValueCountFrequency (%)
*5432
72.4%
635
 
0.5%
733
 
0.4%
N/D31
 
0.4%
527
 
0.4%
924
 
0.3%
6.522
 
0.3%
821
 
0.3%
7.520
 
0.3%
7.2519
 
0.3%
Other values (588)1836
 
24.5%

Length

2022-11-06T21:12:11.964369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
635
 
0.5%
733
 
0.4%
n/d31
 
0.4%
527
 
0.4%
924
 
0.3%
6.522
 
0.3%
821
 
0.3%
7.520
 
0.3%
7.2519
 
0.3%
Other values (588)1836
 
24.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PEA
Categorical

HIGH CARDINALITY

Distinct495
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size427.1 KiB
*
5432 
4
 
114
5
 
110
6
 
99
7
 
85
Other values (490)
1660 

Length

Max length7
Median length1
Mean length1.2904
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique284 ?
Unique (%)3.8%

Sample

1st row1448628
2nd row7511
3rd row2328
4th row1032
5th row676

Common Values

ValueCountFrequency (%)
*5432
72.4%
4114
 
1.5%
5110
 
1.5%
699
 
1.3%
785
 
1.1%
374
 
1.0%
870
 
0.9%
955
 
0.7%
1148
 
0.6%
1438
 
0.5%
Other values (485)1375
 
18.3%

Length

2022-11-06T21:12:12.160369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
4114
 
1.5%
5110
 
1.5%
699
 
1.3%
785
 
1.1%
374
 
1.0%
870
 
0.9%
955
 
0.7%
1148
 
0.6%
1438
 
0.5%
Other values (485)1375
 
18.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PEA_F
Categorical

HIGH CARDINALITY

Distinct314
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
0
 
261
1
 
234
2
 
198
3
 
144
Other values (309)
1231 

Length

Max length6
Median length1
Mean length1.172266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)2.3%

Sample

1st row582665
2nd row1873
3rd row586
4th row272
5th row186

Common Values

ValueCountFrequency (%)
*5432
72.4%
0261
 
3.5%
1234
 
3.1%
2198
 
2.6%
3144
 
1.9%
480
 
1.1%
578
 
1.0%
656
 
0.7%
843
 
0.6%
939
 
0.5%
Other values (304)935
 
12.5%

Length

2022-11-06T21:12:12.366369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0261
 
3.5%
1234
 
3.1%
2198
 
2.6%
3144
 
1.9%
480
 
1.1%
578
 
1.0%
656
 
0.7%
843
 
0.6%
939
 
0.5%
Other values (304)935
 
12.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PEA_M
Categorical

HIGH CARDINALITY

Distinct422
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size426.8 KiB
*
5432 
3
 
157
4
 
143
5
 
132
6
 
92
Other values (417)
1544 

Length

Max length6
Median length1
Mean length1.252133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique232 ?
Unique (%)3.1%

Sample

1st row865963
2nd row5638
3rd row1742
4th row760
5th row490

Common Values

ValueCountFrequency (%)
*5432
72.4%
3157
 
2.1%
4143
 
1.9%
5132
 
1.8%
692
 
1.2%
275
 
1.0%
769
 
0.9%
958
 
0.8%
853
 
0.7%
1041
 
0.5%
Other values (412)1248
 
16.6%

Length

2022-11-06T21:12:12.560370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3157
 
2.1%
4143
 
1.9%
5132
 
1.8%
692
 
1.2%
275
 
1.0%
769
 
0.9%
958
 
0.8%
853
 
0.7%
1041
 
0.5%
Other values (412)1248
 
16.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PE_INAC
Categorical

HIGH CARDINALITY

Distinct438
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size426.7 KiB
*
5432 
2
 
127
3
 
118
4
 
105
5
 
103
Other values (433)
1615 

Length

Max length6
Median length1
Mean length1.243466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)3.5%

Sample

1st row911820
2nd row5139
3rd row1370
4th row1073
5th row700

Common Values

ValueCountFrequency (%)
*5432
72.4%
2127
 
1.7%
3118
 
1.6%
4105
 
1.4%
5103
 
1.4%
188
 
1.2%
086
 
1.1%
785
 
1.1%
671
 
0.9%
853
 
0.7%
Other values (428)1232
 
16.4%

Length

2022-11-06T21:12:12.750370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
2127
 
1.7%
3118
 
1.6%
4105
 
1.4%
5103
 
1.4%
188
 
1.2%
086
 
1.1%
785
 
1.1%
671
 
0.9%
853
 
0.7%
Other values (428)1232
 
16.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PE_INAC_F
Categorical

HIGH CARDINALITY

Distinct375
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
3
 
155
2
 
153
1
 
143
4
 
122
Other values (370)
1495 

Length

Max length6
Median length1
Mean length1.2132
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique217 ?
Unique (%)2.9%

Sample

1st row607163
2nd row2445
3rd row995
4th row742
5th row478

Common Values

ValueCountFrequency (%)
*5432
72.4%
3155
 
2.1%
2153
 
2.0%
1143
 
1.9%
4122
 
1.6%
0117
 
1.6%
5104
 
1.4%
670
 
0.9%
745
 
0.6%
839
 
0.5%
Other values (365)1120
 
14.9%

Length

2022-11-06T21:12:12.921368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3155
 
2.1%
2153
 
2.0%
1143
 
1.9%
4122
 
1.6%
0117
 
1.6%
5104
 
1.4%
670
 
0.9%
745
 
0.6%
839
 
0.5%
Other values (365)1120
 
14.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PE_INAC_M
Categorical

HIGH CARDINALITY

Distinct282
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
0
 
367
1
 
273
2
 
191
3
 
108
Other values (277)
1129 

Length

Max length6
Median length1
Mean length1.153866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)2.3%

Sample

1st row304657
2nd row2694
3rd row375
4th row331
5th row222

Common Values

ValueCountFrequency (%)
*5432
72.4%
0367
 
4.9%
1273
 
3.6%
2191
 
2.5%
3108
 
1.4%
493
 
1.2%
559
 
0.8%
840
 
0.5%
740
 
0.5%
638
 
0.5%
Other values (272)859
 
11.5%

Length

2022-11-06T21:12:13.108368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0367
 
4.9%
1273
 
3.6%
2191
 
2.5%
3108
 
1.4%
493
 
1.2%
559
 
0.8%
840
 
0.5%
740
 
0.5%
638
 
0.5%
Other values (272)859
 
11.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POCUPADA
Categorical

HIGH CARDINALITY

Distinct497
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size427.0 KiB
*
5432 
4
 
117
5
 
110
6
 
101
7
 
83
Other values (492)
1657 

Length

Max length7
Median length1
Mean length1.287866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)4.0%

Sample

1st row1418869
2nd row7454
3rd row2315
4th row987
5th row655

Common Values

ValueCountFrequency (%)
*5432
72.4%
4117
 
1.6%
5110
 
1.5%
6101
 
1.3%
783
 
1.1%
375
 
1.0%
872
 
1.0%
956
 
0.7%
1142
 
0.6%
1341
 
0.5%
Other values (487)1371
 
18.3%

Length

2022-11-06T21:12:13.328369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
4117
 
1.6%
5110
 
1.5%
6101
 
1.3%
783
 
1.1%
375
 
1.0%
872
 
1.0%
956
 
0.7%
1142
 
0.6%
1341
 
0.5%
Other values (487)1371
 
18.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POCUPADA_F
Categorical

HIGH CARDINALITY

Distinct311
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
0
 
266
1
 
233
2
 
202
3
 
146
Other values (306)
1221 

Length

Max length6
Median length1
Mean length1.171066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)2.3%

Sample

1st row574010
2nd row1860
3rd row581
4th row270
5th row185

Common Values

ValueCountFrequency (%)
*5432
72.4%
0266
 
3.5%
1233
 
3.1%
2202
 
2.7%
3146
 
1.9%
579
 
1.1%
477
 
1.0%
650
 
0.7%
941
 
0.5%
741
 
0.5%
Other values (301)933
 
12.4%

Length

2022-11-06T21:12:13.532368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0266
 
3.5%
1233
 
3.1%
2202
 
2.7%
3146
 
1.9%
579
 
1.1%
477
 
1.0%
650
 
0.7%
741
 
0.5%
941
 
0.5%
Other values (301)933
 
12.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POCUPADA_M
Categorical

HIGH CARDINALITY

Distinct419
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size426.8 KiB
*
5432 
3
 
159
4
 
147
5
 
131
6
 
91
Other values (414)
1540 

Length

Max length6
Median length1
Mean length1.250533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)3.1%

Sample

1st row844859
2nd row5594
3rd row1734
4th row717
5th row470

Common Values

ValueCountFrequency (%)
*5432
72.4%
3159
 
2.1%
4147
 
2.0%
5131
 
1.7%
691
 
1.2%
277
 
1.0%
768
 
0.9%
858
 
0.8%
953
 
0.7%
1238
 
0.5%
Other values (409)1246
 
16.6%

Length

2022-11-06T21:12:13.769369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3159
 
2.1%
4147
 
2.0%
5131
 
1.7%
691
 
1.2%
277
 
1.0%
768
 
0.9%
858
 
0.8%
953
 
0.7%
1238
 
0.5%
Other values (409)1246
 
16.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDESOCUP
Categorical

HIGH CARDINALITY

Distinct119
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1329 
1
 
210
2
 
103
3
 
64
Other values (114)
 
362

Length

Max length5
Median length1
Mean length1.042933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)1.0%

Sample

1st row29759
2nd row57
3rd row13
4th row45
5th row21

Common Values

ValueCountFrequency (%)
*5432
72.4%
01329
 
17.7%
1210
 
2.8%
2103
 
1.4%
364
 
0.9%
438
 
0.5%
N/D31
 
0.4%
530
 
0.4%
621
 
0.3%
816
 
0.2%
Other values (109)226
 
3.0%

Length

2022-11-06T21:12:13.965369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01329
 
17.7%
1210
 
2.8%
2103
 
1.4%
364
 
0.9%
438
 
0.5%
n/d31
 
0.4%
530
 
0.4%
621
 
0.3%
816
 
0.2%
Other values (109)226
 
3.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDESOCUP_F
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct66
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1630 
1
 
175
2
 
59
3
 
32
Other values (61)
 
172

Length

Max length4
Median length1
Mean length1.023466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)0.5%

Sample

1st row8655
2nd row13
3rd row5
4th row2
5th row1

Common Values

ValueCountFrequency (%)
*5432
72.4%
01630
 
21.7%
1175
 
2.3%
259
 
0.8%
332
 
0.4%
N/D31
 
0.4%
421
 
0.3%
613
 
0.2%
510
 
0.1%
107
 
0.1%
Other values (56)90
 
1.2%

Length

2022-11-06T21:12:14.202368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01630
 
21.7%
1175
 
2.3%
259
 
0.8%
332
 
0.4%
n/d31
 
0.4%
421
 
0.3%
613
 
0.2%
510
 
0.1%
107
 
0.1%
Other values (56)90
 
1.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDESOCUP_M
Categorical

HIGH CARDINALITY

Distinct111
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1396 
1
 
203
2
 
88
3
 
53
Other values (106)
 
328

Length

Max length5
Median length1
Mean length1.040266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)0.9%

Sample

1st row21104
2nd row44
3rd row8
4th row43
5th row20

Common Values

ValueCountFrequency (%)
*5432
72.4%
01396
 
18.6%
1203
 
2.7%
288
 
1.2%
353
 
0.7%
439
 
0.5%
N/D31
 
0.4%
624
 
0.3%
518
 
0.2%
914
 
0.2%
Other values (101)202
 
2.7%

Length

2022-11-06T21:12:14.409370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01396
 
18.6%
1203
 
2.7%
288
 
1.2%
353
 
0.7%
439
 
0.5%
n/d31
 
0.4%
624
 
0.3%
518
 
0.2%
914
 
0.2%
Other values (101)202
 
2.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PSINDER
Categorical

HIGH CARDINALITY

Distinct356
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size426.4 KiB
*
5432 
0
 
219
1
 
158
2
 
133
3
 
101
Other values (351)
1457 

Length

Max length6
Median length1
Mean length1.206933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)2.8%

Sample

1st row547727
2nd row5653
3rd row1146
4th row532
5th row129

Common Values

ValueCountFrequency (%)
*5432
72.4%
0219
 
2.9%
1158
 
2.1%
2133
 
1.8%
3101
 
1.3%
497
 
1.3%
570
 
0.9%
666
 
0.9%
758
 
0.8%
847
 
0.6%
Other values (346)1119
 
14.9%

Length

2022-11-06T21:12:14.646369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0219
 
2.9%
1158
 
2.1%
2133
 
1.8%
3101
 
1.3%
497
 
1.3%
570
 
0.9%
666
 
0.9%
758
 
0.8%
847
 
0.6%
Other values (346)1119
 
14.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDER_SS
Categorical

HIGH CARDINALITY

Distinct619
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size427.5 KiB
*
5432 
10
 
68
7
 
65
11
 
61
9
 
53
Other values (614)
1821 

Length

Max length7
Median length1
Mean length1.353733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique394 ?
Unique (%)5.3%

Sample

1st row2391479
2nd row11024
3rd row3613
4th row2026
5th row1518

Common Values

ValueCountFrequency (%)
*5432
72.4%
1068
 
0.9%
765
 
0.9%
1161
 
0.8%
953
 
0.7%
850
 
0.7%
648
 
0.6%
445
 
0.6%
1245
 
0.6%
537
 
0.5%
Other values (609)1596
 
21.3%

Length

2022-11-06T21:12:14.868368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1068
 
0.9%
765
 
0.9%
1161
 
0.8%
953
 
0.7%
850
 
0.7%
648
 
0.6%
1245
 
0.6%
445
 
0.6%
537
 
0.5%
Other values (609)1596
 
21.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDER_IMSS
Categorical

HIGH CARDINALITY

Distinct453
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size426.8 KiB
*
5432 
0
 
169
2
 
92
4
 
85
3
 
81
Other values (448)
1641 

Length

Max length7
Median length1
Mean length1.252133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)3.8%

Sample

1st row1579466
2nd row7574
3rd row2370
4th row865
5th row586

Common Values

ValueCountFrequency (%)
*5432
72.4%
0169
 
2.3%
292
 
1.2%
485
 
1.1%
381
 
1.1%
177
 
1.0%
576
 
1.0%
669
 
0.9%
866
 
0.9%
954
 
0.7%
Other values (443)1299
 
17.3%

Length

2022-11-06T21:12:15.071369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0169
 
2.3%
292
 
1.2%
485
 
1.1%
381
 
1.1%
177
 
1.0%
576
 
1.0%
669
 
0.9%
866
 
0.9%
1054
 
0.7%
Other values (443)1299
 
17.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDER_ISTE
Categorical

HIGH CARDINALITY

Distinct179
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
1091 
1
 
138
2
 
109
4
 
67
Other values (174)
663 

Length

Max length6
Median length1
Mean length1.083066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)1.4%

Sample

1st row154084
2nd row222
3rd row83
4th row138
5th row108

Common Values

ValueCountFrequency (%)
*5432
72.4%
01091
 
14.5%
1138
 
1.8%
2109
 
1.5%
467
 
0.9%
360
 
0.8%
544
 
0.6%
637
 
0.5%
735
 
0.5%
N/D31
 
0.4%
Other values (169)456
 
6.1%

Length

2022-11-06T21:12:15.259373image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01091
 
14.5%
1138
 
1.8%
2109
 
1.5%
467
 
0.9%
360
 
0.8%
544
 
0.6%
637
 
0.5%
735
 
0.5%
n/d31
 
0.4%
Other values (169)456
 
6.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDER_ISTEE
Categorical

HIGH CARDINALITY

Distinct179
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
1328 
1
 
112
2
 
82
3
 
54
Other values (174)
 
492

Length

Max length6
Median length1
Mean length1.068
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)1.5%

Sample

1st row129718
2nd row115
3rd row29
4th row132
5th row104

Common Values

ValueCountFrequency (%)
*5432
72.4%
01328
 
17.7%
1112
 
1.5%
282
 
1.1%
354
 
0.7%
447
 
0.6%
538
 
0.5%
N/D31
 
0.4%
724
 
0.3%
622
 
0.3%
Other values (169)330
 
4.4%

Length

2022-11-06T21:12:15.459369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01328
 
17.7%
1112
 
1.5%
282
 
1.1%
354
 
0.7%
447
 
0.6%
538
 
0.5%
n/d31
 
0.4%
724
 
0.3%
622
 
0.3%
Other values (169)330
 
4.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PAFIL_PDOM
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct54
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1813 
1
 
77
2
 
31
N/D
 
31
Other values (49)
 
116

Length

Max length5
Median length1
Mean length1.0196
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)0.5%

Sample

1st row14380
2nd row24
3rd row3
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01813
 
24.2%
177
 
1.0%
231
 
0.4%
N/D31
 
0.4%
320
 
0.3%
519
 
0.3%
411
 
0.1%
66
 
0.1%
184
 
0.1%
Other values (44)56
 
0.7%

Length

2022-11-06T21:12:15.660377image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01813
 
24.2%
177
 
1.0%
231
 
0.4%
n/d31
 
0.4%
320
 
0.3%
519
 
0.3%
411
 
0.1%
66
 
0.1%
184
 
0.1%
Other values (44)56
 
0.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDER_SEGP
Categorical

HIGH CARDINALITY

Distinct450
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size426.7 KiB
*
5432 
0
 
324
1
 
98
2
 
80
3
 
73
Other values (445)
1493 

Length

Max length6
Median length1
Mean length1.2452
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique257 ?
Unique (%)3.4%

Sample

1st row465170
2nd row2959
3rd row1062
4th row831
5th row691

Common Values

ValueCountFrequency (%)
*5432
72.4%
0324
 
4.3%
198
 
1.3%
280
 
1.1%
373
 
1.0%
463
 
0.8%
662
 
0.8%
548
 
0.6%
847
 
0.6%
745
 
0.6%
Other values (440)1228
 
16.4%

Length

2022-11-06T21:12:15.849372image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0324
 
4.3%
198
 
1.3%
280
 
1.1%
373
 
1.0%
463
 
0.8%
662
 
0.8%
548
 
0.6%
847
 
0.6%
745
 
0.6%
Other values (440)1228
 
16.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PDER_IMSSB
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct82
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1676 
1
 
111
2
 
49
N/D
 
31
Other values (77)
 
201

Length

Max length5
Median length1
Mean length1.028266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)0.7%

Sample

1st row10138
2nd row45
3rd row30
4th row14
5th row14

Common Values

ValueCountFrequency (%)
*5432
72.4%
01676
 
22.3%
1111
 
1.5%
249
 
0.7%
N/D31
 
0.4%
326
 
0.3%
421
 
0.3%
512
 
0.2%
612
 
0.2%
811
 
0.1%
Other values (72)119
 
1.6%

Length

2022-11-06T21:12:16.051369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01676
 
22.3%
1111
 
1.5%
249
 
0.7%
n/d31
 
0.4%
326
 
0.3%
421
 
0.3%
512
 
0.2%
612
 
0.2%
811
 
0.1%
Other values (72)119
 
1.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PAFIL_IPRIV
Categorical

HIGH CARDINALITY

Distinct105
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1569 
1
 
122
2
 
42
4
 
39
Other values (100)
 
296

Length

Max length5
Median length1
Mean length1.039733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)0.9%

Sample

1st row81309
2nd row148
3rd row52
4th row53
5th row21

Common Values

ValueCountFrequency (%)
*5432
72.4%
01569
 
20.9%
1122
 
1.6%
242
 
0.6%
439
 
0.5%
332
 
0.4%
N/D31
 
0.4%
523
 
0.3%
715
 
0.2%
812
 
0.2%
Other values (95)183
 
2.4%

Length

2022-11-06T21:12:16.251371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01569
 
20.9%
1122
 
1.6%
242
 
0.6%
439
 
0.5%
332
 
0.4%
n/d31
 
0.4%
523
 
0.3%
715
 
0.2%
812
 
0.2%
Other values (95)183
 
2.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PAFIL_OTRAI
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct94
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1635 
1
 
114
2
 
59
N/D
 
31
Other values (89)
 
229

Length

Max length5
Median length1
Mean length1.031066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)0.8%

Sample

1st row18961
2nd row46
3rd row16
4th row15
5th row9

Common Values

ValueCountFrequency (%)
*5432
72.4%
01635
 
21.8%
1114
 
1.5%
259
 
0.8%
N/D31
 
0.4%
328
 
0.4%
424
 
0.3%
517
 
0.2%
612
 
0.2%
910
 
0.1%
Other values (84)138
 
1.8%

Length

2022-11-06T21:12:16.493377image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01635
 
21.8%
1114
 
1.5%
259
 
0.8%
n/d31
 
0.4%
328
 
0.4%
424
 
0.3%
517
 
0.2%
612
 
0.2%
910
 
0.1%
Other values (84)138
 
1.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P12YM_SOLT
Categorical

HIGH CARDINALITY

Distinct392
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size426.6 KiB
*
5432 
1
 
156
2
 
143
3
 
143
4
 
100
Other values (387)
1526 

Length

Max length6
Median length1
Mean length1.2232
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique227 ?
Unique (%)3.0%

Sample

1st row825042
2nd row4619
3rd row1167
4th row647
5th row422

Common Values

ValueCountFrequency (%)
*5432
72.4%
1156
 
2.1%
2143
 
1.9%
3143
 
1.9%
4100
 
1.3%
592
 
1.2%
080
 
1.1%
678
 
1.0%
759
 
0.8%
845
 
0.6%
Other values (382)1172
 
15.6%

Length

2022-11-06T21:12:16.869368image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1156
 
2.1%
2143
 
1.9%
3143
 
1.9%
4100
 
1.3%
592
 
1.2%
080
 
1.1%
678
 
1.0%
759
 
0.8%
845
 
0.6%
Other values (382)1172
 
15.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P12YM_CASA
Categorical

HIGH CARDINALITY

Distinct504
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size427.0 KiB
*
5432 
6
 
143
4
 
124
8
 
124
10
 
74
Other values (499)
1603 

Length

Max length7
Median length1
Mean length1.287733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique306 ?
Unique (%)4.1%

Sample

1st row1237979
2nd row8662
3rd row2311
4th row1244
5th row801

Common Values

ValueCountFrequency (%)
*5432
72.4%
6143
 
1.9%
4124
 
1.7%
8124
 
1.7%
1074
 
1.0%
264
 
0.9%
554
 
0.7%
1247
 
0.6%
745
 
0.6%
344
 
0.6%
Other values (494)1349
 
18.0%

Length

2022-11-06T21:12:17.066370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
6143
 
1.9%
4124
 
1.7%
8124
 
1.7%
1074
 
1.0%
264
 
0.9%
554
 
0.7%
1247
 
0.6%
745
 
0.6%
344
 
0.6%
Other values (494)1349
 
18.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

P12YM_SEPA
Categorical

HIGH CARDINALITY

Distinct272
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
1
 
283
0
 
244
2
 
215
3
 
135
Other values (267)
1191 

Length

Max length6
Median length1
Mean length1.155466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)2.1%

Sample

1st row310084
2nd row1577
3rd row478
4th row218
5th row156

Common Values

ValueCountFrequency (%)
*5432
72.4%
1283
 
3.8%
0244
 
3.3%
2215
 
2.9%
3135
 
1.8%
489
 
1.2%
570
 
0.9%
657
 
0.8%
750
 
0.7%
1136
 
0.5%
Other values (262)889
 
11.9%

Length

2022-11-06T21:12:17.285369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1283
 
3.8%
0244
 
3.3%
2215
 
2.9%
3135
 
1.8%
489
 
1.2%
570
 
0.9%
657
 
0.8%
750
 
0.7%
1136
 
0.5%
Other values (262)889
 
11.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PCATOLICA
Categorical

HIGH CARDINALITY

Distinct626
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size427.5 KiB
*
5432 
7
 
57
4
 
55
11
 
55
10
 
54
Other values (621)
1847 

Length

Max length7
Median length1
Mean length1.357333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique393 ?
Unique (%)5.2%

Sample

1st row2252402
2nd row12572
3rd row3734
4th row2379
5th row1522

Common Values

ValueCountFrequency (%)
*5432
72.4%
757
 
0.8%
455
 
0.7%
1155
 
0.7%
1054
 
0.7%
854
 
0.7%
954
 
0.7%
1249
 
0.7%
646
 
0.6%
1445
 
0.6%
Other values (616)1599
 
21.3%

Length

2022-11-06T21:12:17.488369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
757
 
0.8%
455
 
0.7%
1155
 
0.7%
1054
 
0.7%
854
 
0.7%
954
 
0.7%
1249
 
0.7%
646
 
0.6%
1445
 
0.6%
Other values (616)1599
 
21.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PRO_CRIEVA
Categorical

HIGH CARDINALITY

Distinct260
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
703 
1
 
166
2
 
99
3
 
76
Other values (255)
1024 

Length

Max length6
Median length1
Mean length1.136533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)2.0%

Sample

1st row329449
2nd row1942
3rd row416
4th row76
5th row50

Common Values

ValueCountFrequency (%)
*5432
72.4%
0703
 
9.4%
1166
 
2.2%
299
 
1.3%
376
 
1.0%
475
 
1.0%
562
 
0.8%
749
 
0.7%
645
 
0.6%
844
 
0.6%
Other values (250)749
 
10.0%

Length

2022-11-06T21:12:17.672370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0703
 
9.4%
1166
 
2.2%
299
 
1.3%
376
 
1.0%
475
 
1.0%
562
 
0.8%
749
 
0.7%
645
 
0.6%
844
 
0.6%
Other values (250)749
 
10.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POTRAS_REL
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct37
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size425.0 KiB
*
5432 
0
1917 
1
 
54
N/D
 
31
2
 
16
Other values (32)
 
50

Length

Max length4
Median length1
Mean length1.014133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)0.3%

Sample

1st row1569
2nd row17
3rd row2
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
01917
 
25.6%
154
 
0.7%
N/D31
 
0.4%
216
 
0.2%
35
 
0.1%
53
 
< 0.1%
133
 
< 0.1%
113
 
< 0.1%
352
 
< 0.1%
Other values (27)34
 
0.5%

Length

2022-11-06T21:12:17.890369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01917
 
25.6%
154
 
0.7%
n/d31
 
0.4%
216
 
0.2%
35
 
0.1%
133
 
< 0.1%
113
 
< 0.1%
53
 
< 0.1%
352
 
< 0.1%
Other values (27)34
 
0.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PSIN_RELIG
Categorical

HIGH CARDINALITY

Distinct254
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
594 
1
 
190
2
 
119
3
 
109
Other values (249)
1056 

Length

Max length6
Median length1
Mean length1.137866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)2.0%

Sample

1st row353863
2nd row1972
3rd row606
4th row103
5th row76

Common Values

ValueCountFrequency (%)
*5432
72.4%
0594
 
7.9%
1190
 
2.5%
2119
 
1.6%
3109
 
1.5%
577
 
1.0%
470
 
0.9%
654
 
0.7%
739
 
0.5%
836
 
0.5%
Other values (244)780
 
10.4%

Length

2022-11-06T21:12:18.178370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0594
 
7.9%
1190
 
2.5%
2119
 
1.6%
3109
 
1.5%
577
 
1.0%
470
 
0.9%
654
 
0.7%
739
 
0.5%
836
 
0.5%
Other values (244)780
 
10.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

TOTHOG
Categorical

HIGH CARDINALITY

Distinct412
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size426.7 KiB
*
5432 
3
 
302
4
 
165
5
 
120
6
 
87
Other values (407)
1394 

Length

Max length6
Median length1
Mean length1.241333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)3.2%

Sample

1st row876333
2nd row4545
3rd row1667
4th row790
5th row528

Common Values

ValueCountFrequency (%)
*5432
72.4%
3302
 
4.0%
4165
 
2.2%
5120
 
1.6%
687
 
1.2%
763
 
0.8%
861
 
0.8%
941
 
0.5%
1035
 
0.5%
N/D31
 
0.4%
Other values (402)1163
 
15.5%

Length

2022-11-06T21:12:18.336369image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3302
 
4.0%
4165
 
2.2%
5120
 
1.6%
687
 
1.2%
763
 
0.8%
861
 
0.8%
941
 
0.5%
1035
 
0.5%
n/d31
 
0.4%
Other values (402)1163
 
15.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

HOGJEF_F
Categorical

HIGH CARDINALITY

Distinct246
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
391
1
 
339
2
 
186
3
 
116
Other values (241)
1036 

Length

Max length6
Median length1
Mean length1.136133333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)1.9%

Sample

1st row300228
2nd row613
3rd row320
4th row182
5th row128

Common Values

ValueCountFrequency (%)
*5432
72.4%
0391
 
5.2%
1339
 
4.5%
2186
 
2.5%
3116
 
1.5%
480
 
1.1%
552
 
0.7%
641
 
0.5%
841
 
0.5%
739
 
0.5%
Other values (236)783
 
10.4%

Length

2022-11-06T21:12:18.540370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0391
 
5.2%
1339
 
4.5%
2186
 
2.5%
3116
 
1.5%
480
 
1.1%
552
 
0.7%
641
 
0.5%
841
 
0.5%
739
 
0.5%
Other values (236)783
 
10.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

HOGJEF_M
Categorical

HIGH CARDINALITY

Distinct366
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
3
 
246
4
 
167
2
 
141
5
 
117
Other values (361)
1397 

Length

Max length6
Median length1
Mean length1.214533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)2.9%

Sample

1st row576105
2nd row3932
3rd row1347
4th row608
5th row400

Common Values

ValueCountFrequency (%)
*5432
72.4%
3246
 
3.3%
4167
 
2.2%
2141
 
1.9%
5117
 
1.6%
677
 
1.0%
751
 
0.7%
142
 
0.6%
842
 
0.6%
941
 
0.5%
Other values (356)1144
 
15.3%

Length

2022-11-06T21:12:18.962371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3246
 
3.3%
4167
 
2.2%
2141
 
1.9%
5117
 
1.6%
677
 
1.0%
751
 
0.7%
142
 
0.6%
842
 
0.6%
941
 
0.5%
Other values (356)1144
 
15.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

POBHOG
Categorical

HIGH CARDINALITY

Distinct680
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size427.8 KiB
*
5432 
12
 
61
10
 
61
11
 
53
8
 
51
Other values (675)
1842 

Length

Max length7
Median length1
Mean length1.390266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)6.0%

Sample

1st row2924641
2nd row11741
3rd row4759
4th row2563
5th row1650

Common Values

ValueCountFrequency (%)
*5432
72.4%
1261
 
0.8%
1061
 
0.8%
1153
 
0.7%
851
 
0.7%
951
 
0.7%
1350
 
0.7%
1447
 
0.6%
743
 
0.6%
1738
 
0.5%
Other values (670)1613
 
21.5%

Length

2022-11-06T21:12:19.324371image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1261
 
0.8%
1061
 
0.8%
1153
 
0.7%
851
 
0.7%
951
 
0.7%
1350
 
0.7%
1447
 
0.6%
743
 
0.6%
1738
 
0.5%
Other values (670)1613
 
21.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PHOGJEF_F
Categorical

HIGH CARDINALITY

Distinct405
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
0
 
391
2
 
117
3
 
101
4
 
71
Other values (400)
1388 

Length

Max length6
Median length1
Mean length1.219333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)3.1%

Sample

1st row955184
2nd row1889
3rd row1025
4th row518
5th row353

Common Values

ValueCountFrequency (%)
*5432
72.4%
0391
 
5.2%
2117
 
1.6%
3101
 
1.3%
471
 
0.9%
666
 
0.9%
560
 
0.8%
759
 
0.8%
156
 
0.7%
938
 
0.5%
Other values (395)1109
 
14.8%

Length

2022-11-06T21:12:19.503370image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0391
 
5.2%
2117
 
1.6%
3101
 
1.3%
471
 
0.9%
666
 
0.9%
560
 
0.8%
759
 
0.8%
156
 
0.7%
938
 
0.5%
Other values (395)1109
 
14.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PHOGJEF_M
Categorical

HIGH CARDINALITY

Distinct598
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size427.5 KiB
*
5432 
8
 
67
10
 
58
12
 
56
7
 
56
Other values (593)
1831 

Length

Max length7
Median length1
Mean length1.349466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique364 ?
Unique (%)4.9%

Sample

1st row1969457
2nd row9852
3rd row3734
4th row2045
5th row1297

Common Values

ValueCountFrequency (%)
*5432
72.4%
867
 
0.9%
1058
 
0.8%
1256
 
0.7%
756
 
0.7%
956
 
0.7%
1153
 
0.7%
648
 
0.6%
444
 
0.6%
1343
 
0.6%
Other values (588)1587
 
21.2%

Length

2022-11-06T21:12:19.697613image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
867
 
0.9%
1058
 
0.8%
1256
 
0.7%
756
 
0.7%
956
 
0.7%
1153
 
0.7%
648
 
0.6%
444
 
0.6%
1343
 
0.6%
Other values (588)1587
 
21.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VIVTOT
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct475
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.3946667
Minimum1
Maximum1079104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.7 KiB
2022-11-06T21:12:19.936616image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile177
Maximum1079104
Range1079103
Interquartile range (IQR)4

Descriptive statistics

Standard deviation13881.34476
Coefficient of variation (CV)31.95560586
Kurtosis4935.023596
Mean434.3946667
Median Absolute Deviation (MAD)1
Skewness66.05077623
Sum3257960
Variance192691732.2
MonotonicityNot monotonic
2022-11-06T21:12:20.188825image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13387
45.2%
21269
 
16.9%
3565
 
7.5%
4272
 
3.6%
5177
 
2.4%
6119
 
1.6%
797
 
1.3%
872
 
1.0%
972
 
1.0%
1058
 
0.8%
Other values (465)1412
18.8%
ValueCountFrequency (%)
13387
45.2%
21269
 
16.9%
3565
 
7.5%
4272
 
3.6%
5177
 
2.4%
6119
 
1.6%
797
 
1.3%
872
 
1.0%
972
 
1.0%
1058
 
0.8%
ValueCountFrequency (%)
10791041
< 0.1%
3264101
< 0.1%
2957061
< 0.1%
1629661
< 0.1%
1250841
< 0.1%
901501
< 0.1%
889861
< 0.1%
724021
< 0.1%
642081
< 0.1%
611621
< 0.1%

TVIVHAB
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
SKEWED

Distinct410
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.3981333
Minimum1
Maximum876826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size58.7 KiB
2022-11-06T21:12:20.446916image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile123.05
Maximum876826
Range876825
Interquartile range (IQR)2

Descriptive statistics

Standard deviation11389.54213
Coefficient of variation (CV)32.3200978
Kurtosis4764.463962
Mean352.3981333
Median Absolute Deviation (MAD)0
Skewness64.76111211
Sum2642986
Variance129721670
MonotonicityNot monotonic
2022-11-06T21:12:20.695919image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14581
61.1%
2851
 
11.3%
3315
 
4.2%
4174
 
2.3%
5123
 
1.6%
689
 
1.2%
864
 
0.9%
764
 
0.9%
942
 
0.6%
1034
 
0.5%
Other values (400)1163
 
15.5%
ValueCountFrequency (%)
14581
61.1%
2851
 
11.3%
3315
 
4.2%
4174
 
2.3%
5123
 
1.6%
689
 
1.2%
764
 
0.9%
864
 
0.9%
942
 
0.6%
1034
 
0.5%
ValueCountFrequency (%)
8768261
< 0.1%
2787121
< 0.1%
2582731
< 0.1%
1357441
< 0.1%
1042311
< 0.1%
783961
< 0.1%
776251
< 0.1%
597331
< 0.1%
534861
< 0.1%
471361
< 0.1%

TVIVPAR
Categorical

HIGH CARDINALITY

Distinct479
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size427.0 KiB
*
5432 
3
 
140
4
 
113
5
 
100
6
 
75
Other values (474)
1640 

Length

Max length7
Median length1
Mean length1.286933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique278 ?
Unique (%)3.7%

Sample

1st row1038513
2nd row6839
3rd row2884
4th row1110
5th row750

Common Values

ValueCountFrequency (%)
*5432
72.4%
3140
 
1.9%
4113
 
1.5%
5100
 
1.3%
675
 
1.0%
769
 
0.9%
853
 
0.7%
950
 
0.7%
1046
 
0.6%
1238
 
0.5%
Other values (469)1384
 
18.5%

Length

2022-11-06T21:12:20.920920image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3140
 
1.9%
4113
 
1.5%
5100
 
1.3%
675
 
1.0%
769
 
0.9%
853
 
0.7%
950
 
0.7%
1046
 
0.6%
1238
 
0.5%
Other values (469)1384
 
18.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VIVPAR_HAB
Categorical

HIGH CARDINALITY

Distinct405
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size426.7 KiB
*
5432 
3
 
281
4
 
158
5
 
106
6
 
87
Other values (400)
1436 

Length

Max length6
Median length1
Mean length1.237466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)3.1%

Sample

1st row836235
2nd row4171
3rd row1482
4th row787
5th row525

Common Values

ValueCountFrequency (%)
*5432
72.4%
3281
 
3.7%
4158
 
2.1%
5106
 
1.4%
687
 
1.2%
760
 
0.8%
858
 
0.8%
044
 
0.6%
941
 
0.5%
1234
 
0.5%
Other values (395)1199
 
16.0%

Length

2022-11-06T21:12:21.145915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3281
 
3.7%
4158
 
2.1%
5106
 
1.4%
687
 
1.2%
760
 
0.8%
858
 
0.8%
044
 
0.6%
941
 
0.5%
1234
 
0.5%
Other values (395)1199
 
16.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VIVPARH_CV
Categorical

HIGH CARDINALITY

Distinct405
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size426.7 KiB
*
5432 
3
 
290
4
 
166
5
 
117
6
 
87
Other values (400)
1408 

Length

Max length6
Median length1
Mean length1.240266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)3.1%

Sample

1st row874341
2nd row4500
3rd row1644
4th row790
5th row528

Common Values

ValueCountFrequency (%)
*5432
72.4%
3290
 
3.9%
4166
 
2.2%
5117
 
1.6%
687
 
1.2%
764
 
0.9%
862
 
0.8%
942
 
0.6%
1034
 
0.5%
N/D31
 
0.4%
Other values (395)1175
 
15.7%

Length

2022-11-06T21:12:21.329915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3290
 
3.9%
4166
 
2.2%
5117
 
1.6%
687
 
1.2%
764
 
0.9%
862
 
0.8%
942
 
0.6%
1034
 
0.5%
n/d31
 
0.4%
Other values (395)1175
 
15.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

TVIVPARHAB
Categorical

HIGH CARDINALITY

Distinct412
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size426.7 KiB
*
5432 
3
 
302
4
 
165
5
 
120
6
 
87
Other values (407)
1394 

Length

Max length6
Median length1
Mean length1.241333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique242 ?
Unique (%)3.2%

Sample

1st row876333
2nd row4545
3rd row1667
4th row790
5th row528

Common Values

ValueCountFrequency (%)
*5432
72.4%
3302
 
4.0%
4165
 
2.2%
5120
 
1.6%
687
 
1.2%
763
 
0.8%
861
 
0.8%
941
 
0.5%
1035
 
0.5%
N/D31
 
0.4%
Other values (402)1163
 
15.5%

Length

2022-11-06T21:12:21.528929image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3302
 
4.0%
4165
 
2.2%
5120
 
1.6%
687
 
1.2%
763
 
0.8%
861
 
0.8%
941
 
0.5%
1035
 
0.5%
n/d31
 
0.4%
Other values (402)1163
 
15.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VIVPAR_DES
Categorical

HIGH CARDINALITY

Distinct223
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size425.9 KiB
*
5432 
0
 
468
1
 
210
2
 
148
3
 
93
Other values (218)
1149 

Length

Max length6
Median length1
Mean length1.137733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)1.7%

Sample

1st row140761
2nd row1041
3rd row484
4th row165
5th row118

Common Values

ValueCountFrequency (%)
*5432
72.4%
0468
 
6.2%
1210
 
2.8%
2148
 
2.0%
393
 
1.2%
488
 
1.2%
563
 
0.8%
661
 
0.8%
949
 
0.7%
1246
 
0.6%
Other values (213)842
 
11.2%

Length

2022-11-06T21:12:21.741916image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0468
 
6.2%
1210
 
2.8%
2148
 
2.0%
393
 
1.2%
488
 
1.2%
563
 
0.8%
661
 
0.8%
949
 
0.7%
1246
 
0.6%
Other values (213)842
 
11.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VIVPAR_UT
Categorical

HIGH CARDINALITY

Distinct220
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
646 
1
 
232
2
 
141
3
 
123
Other values (215)
926 

Length

Max length5
Median length1
Mean length1.105866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)1.9%

Sample

1st row61517
2nd row1627
3rd row918
4th row158
5th row107

Common Values

ValueCountFrequency (%)
*5432
72.4%
0646
 
8.6%
1232
 
3.1%
2141
 
1.9%
3123
 
1.6%
481
 
1.1%
565
 
0.9%
661
 
0.8%
747
 
0.6%
842
 
0.6%
Other values (210)630
 
8.4%

Length

2022-11-06T21:12:21.923919image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0646
 
8.6%
1232
 
3.1%
2141
 
1.9%
3123
 
1.6%
481
 
1.1%
565
 
0.9%
661
 
0.8%
747
 
0.6%
842
 
0.6%
Other values (210)630
 
8.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

OCUPVIVPAR
Categorical

HIGH CARDINALITY

Distinct680
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size427.8 KiB
*
5432 
12
 
61
10
 
61
11
 
53
8
 
51
Other values (675)
1842 

Length

Max length7
Median length1
Mean length1.390266667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique447 ?
Unique (%)6.0%

Sample

1st row2924641
2nd row11741
3rd row4759
4th row2563
5th row1650

Common Values

ValueCountFrequency (%)
*5432
72.4%
1261
 
0.8%
1061
 
0.8%
1153
 
0.7%
851
 
0.7%
951
 
0.7%
1350
 
0.7%
1447
 
0.6%
743
 
0.6%
1738
 
0.5%
Other values (670)1613
 
21.5%

Length

2022-11-06T21:12:22.121915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1261
 
0.8%
1061
 
0.8%
1153
 
0.7%
851
 
0.7%
951
 
0.7%
1350
 
0.7%
1447
 
0.6%
743
 
0.6%
1738
 
0.5%
Other values (670)1613
 
21.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PROM_OCUP
Categorical

HIGH CARDINALITY

Distinct328
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size429.9 KiB
*
5432 
3
 
84
4
 
58
2
 
53
3.33
 
50
Other values (323)
1823 

Length

Max length4
Median length1
Mean length1.685333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)1.1%

Sample

1st row3.34
2nd row2.58
3rd row2.85
4th row3.24
5th row3.13

Common Values

ValueCountFrequency (%)
*5432
72.4%
384
 
1.1%
458
 
0.8%
253
 
0.7%
3.3350
 
0.7%
2.6743
 
0.6%
3.540
 
0.5%
2.3338
 
0.5%
3.6735
 
0.5%
N/D31
 
0.4%
Other values (318)1636
 
21.8%

Length

2022-11-06T21:12:22.310918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
384
 
1.1%
458
 
0.8%
253
 
0.7%
3.3350
 
0.7%
2.6743
 
0.6%
3.540
 
0.5%
2.3338
 
0.5%
3.6735
 
0.5%
n/d31
 
0.4%
Other values (318)1636
 
21.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

PRO_OCUP_C
Categorical

HIGH CARDINALITY

Distinct223
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size430.4 KiB
*
5432 
1
 
90
0.67
 
35
N/D
 
31
0.83
 
30
Other values (218)
1882 

Length

Max length4
Median length1
Mean length1.743866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)0.6%

Sample

1st row0.88
2nd row0.81
3rd row0.91
4th row0.81
5th row0.78

Common Values

ValueCountFrequency (%)
*5432
72.4%
190
 
1.2%
0.6735
 
0.5%
N/D31
 
0.4%
0.8330
 
0.4%
0.9229
 
0.4%
0.9327
 
0.4%
1.3327
 
0.4%
1.0526
 
0.3%
0.7725
 
0.3%
Other values (213)1748
 
23.3%

Length

2022-11-06T21:12:22.707920image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
190
 
1.2%
0.6735
 
0.5%
n/d31
 
0.4%
0.8330
 
0.4%
0.9229
 
0.4%
0.9327
 
0.4%
1.3327
 
0.4%
1.0526
 
0.3%
0.7725
 
0.3%
Other values (213)1748
 
23.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_PISODT
Categorical

HIGH CARDINALITY

Distinct397
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size426.6 KiB
*
5432 
3
 
279
4
 
160
5
 
107
6
 
86
Other values (392)
1436 

Length

Max length6
Median length1
Mean length1.230933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique231 ?
Unique (%)3.1%

Sample

1st row851944
2nd row4068
3rd row1390
4th row787
5th row525

Common Values

ValueCountFrequency (%)
*5432
72.4%
3279
 
3.7%
4160
 
2.1%
5107
 
1.4%
686
 
1.1%
270
 
0.9%
768
 
0.9%
841
 
0.5%
935
 
0.5%
034
 
0.5%
Other values (387)1188
 
15.8%

Length

2022-11-06T21:12:22.912920image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3279
 
3.7%
4160
 
2.1%
5107
 
1.4%
686
 
1.1%
270
 
0.9%
768
 
0.9%
841
 
0.5%
935
 
0.5%
034
 
0.5%
Other values (387)1188
 
15.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_PISOTI
Categorical

HIGH CARDINALITY

Distinct116
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
879 
1
 
267
2
 
170
3
 
116
Other values (111)
636 

Length

Max length5
Median length1
Mean length1.058533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)0.9%

Sample

1st row21326
2nd row381
3rd row168
4th row3
5th row3

Common Values

ValueCountFrequency (%)
*5432
72.4%
0879
 
11.7%
1267
 
3.6%
2170
 
2.3%
3116
 
1.5%
463
 
0.8%
663
 
0.8%
558
 
0.8%
756
 
0.7%
N/D31
 
0.4%
Other values (106)365
 
4.9%

Length

2022-11-06T21:12:23.200915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0879
 
11.7%
1267
 
3.6%
2170
 
2.3%
3116
 
1.5%
463
 
0.8%
663
 
0.8%
558
 
0.8%
756
 
0.7%
n/d31
 
0.4%
Other values (106)365
 
4.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_1DOR
Categorical

HIGH CARDINALITY

Distinct265
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
3
 
211
2
 
198
1
 
178
4
 
137
Other values (260)
1344 

Length

Max length6
Median length1
Mean length1.167866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)1.9%

Sample

1st row261175
2nd row2089
3rd row774
4th row212
5th row148

Common Values

ValueCountFrequency (%)
*5432
72.4%
3211
 
2.8%
2198
 
2.6%
1178
 
2.4%
4137
 
1.8%
0127
 
1.7%
576
 
1.0%
661
 
0.8%
943
 
0.6%
1040
 
0.5%
Other values (255)997
 
13.3%

Length

2022-11-06T21:12:23.421922image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3211
 
2.8%
2198
 
2.6%
1178
 
2.4%
4137
 
1.8%
0127
 
1.7%
576
 
1.0%
661
 
0.8%
943
 
0.6%
1040
 
0.5%
Other values (255)997
 
13.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_2YMASD
Categorical

HIGH CARDINALITY

Distinct339
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size426.3 KiB
*
5432 
2
 
224
3
 
216
1
 
168
0
 
129
Other values (334)
1331 

Length

Max length6
Median length1
Mean length1.190533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)2.6%

Sample

1st row612181
2nd row2360
3rd row784
4th row578
5th row380

Common Values

ValueCountFrequency (%)
*5432
72.4%
2224
 
3.0%
3216
 
2.9%
1168
 
2.2%
0129
 
1.7%
4110
 
1.5%
562
 
0.8%
652
 
0.7%
842
 
0.6%
735
 
0.5%
Other values (329)1030
 
13.7%

Length

2022-11-06T21:12:23.664920image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
2224
 
3.0%
3216
 
2.9%
1168
 
2.2%
0129
 
1.7%
4110
 
1.5%
562
 
0.8%
652
 
0.7%
842
 
0.6%
735
 
0.5%
Other values (329)1030
 
13.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_1CUART
Categorical

HIGH CARDINALITY

Distinct147
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
634 
1
 
340
2
 
188
3
 
113
Other values (142)
793 

Length

Max length5
Median length1
Mean length1.079466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)1.1%

Sample

1st row39200
2nd row416
3rd row182
4th row32
5th row24

Common Values

ValueCountFrequency (%)
*5432
72.4%
0634
 
8.5%
1340
 
4.5%
2188
 
2.5%
3113
 
1.5%
4110
 
1.5%
561
 
0.8%
649
 
0.7%
840
 
0.5%
736
 
0.5%
Other values (137)497
 
6.6%

Length

2022-11-06T21:12:24.036922image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0634
 
8.5%
1340
 
4.5%
2188
 
2.5%
3113
 
1.5%
4110
 
1.5%
561
 
0.8%
649
 
0.7%
840
 
0.5%
736
 
0.5%
Other values (137)497
 
6.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_2CUART
Categorical

HIGH CARDINALITY

Distinct197
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
331
1
 
330
2
 
217
3
 
128
Other values (192)
1062 

Length

Max length6
Median length1
Mean length1.121466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique111 ?
Unique (%)1.5%

Sample

1st row115168
2nd row1081
3rd row398
4th row99
5th row60

Common Values

ValueCountFrequency (%)
*5432
72.4%
0331
 
4.4%
1330
 
4.4%
2217
 
2.9%
3128
 
1.7%
4100
 
1.3%
671
 
0.9%
560
 
0.8%
840
 
0.5%
738
 
0.5%
Other values (187)753
 
10.0%

Length

2022-11-06T21:12:24.299920image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0331
 
4.4%
1330
 
4.4%
2217
 
2.9%
3128
 
1.7%
4100
 
1.3%
671
 
0.9%
560
 
0.8%
840
 
0.5%
738
 
0.5%
Other values (187)753
 
10.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_3YMASC
Categorical

HIGH CARDINALITY

Distinct352
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size426.4 KiB
*
5432 
3
 
234
2
 
184
1
 
140
4
 
136
Other values (347)
1374 

Length

Max length6
Median length1
Mean length1.201466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique204 ?
Unique (%)2.7%

Sample

1st row718979
2nd row2952
3rd row978
4th row659
5th row444

Common Values

ValueCountFrequency (%)
*5432
72.4%
3234
 
3.1%
2184
 
2.5%
1140
 
1.9%
4136
 
1.8%
585
 
1.1%
080
 
1.1%
657
 
0.8%
840
 
0.5%
739
 
0.5%
Other values (342)1073
 
14.3%

Length

2022-11-06T21:12:24.482917image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3234
 
3.1%
2184
 
2.5%
1140
 
1.9%
4136
 
1.8%
585
 
1.1%
080
 
1.1%
657
 
0.8%
840
 
0.5%
739
 
0.5%
Other values (342)1073
 
14.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_C_ELEC
Categorical

HIGH CARDINALITY

Distinct408
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size426.6 KiB
*
5432 
3
 
270
4
 
166
5
 
100
6
 
84
Other values (403)
1448 

Length

Max length6
Median length1
Mean length1.2348
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)3.1%

Sample

1st row864910
2nd row3663
3rd row1341
4th row781
5th row522

Common Values

ValueCountFrequency (%)
*5432
72.4%
3270
 
3.6%
4166
 
2.2%
5100
 
1.3%
684
 
1.1%
860
 
0.8%
759
 
0.8%
241
 
0.5%
939
 
0.5%
038
 
0.5%
Other values (398)1211
 
16.1%

Length

2022-11-06T21:12:24.751915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3270
 
3.6%
4166
 
2.2%
5100
 
1.3%
684
 
1.1%
860
 
0.8%
759
 
0.8%
241
 
0.5%
939
 
0.5%
038
 
0.5%
Other values (398)1211
 
16.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_S_ELEC
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct91
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1095 
1
 
280
2
 
160
3
 
107
Other values (86)
 
426

Length

Max length4
Median length1
Mean length1.037466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)0.7%

Sample

1st row8484
2nd row787
3rd row217
4th row9
5th row6

Common Values

ValueCountFrequency (%)
*5432
72.4%
01095
 
14.6%
1280
 
3.7%
2160
 
2.1%
3107
 
1.4%
456
 
0.7%
547
 
0.6%
637
 
0.5%
N/D31
 
0.4%
728
 
0.4%
Other values (81)227
 
3.0%

Length

2022-11-06T21:12:25.007918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01095
 
14.6%
1280
 
3.7%
2160
 
2.1%
3107
 
1.4%
456
 
0.7%
547
 
0.6%
637
 
0.5%
n/d31
 
0.4%
728
 
0.4%
Other values (81)227
 
3.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_AGUADV
Categorical

HIGH CARDINALITY

Distinct398
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size426.6 KiB
*
5432 
3
 
253
4
 
150
5
 
94
0
 
79
Other values (393)
1492 

Length

Max length6
Median length1
Mean length1.230933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique226 ?
Unique (%)3.0%

Sample

1st row860988
2nd row3698
3rd row1321
4th row782
5th row524

Common Values

ValueCountFrequency (%)
*5432
72.4%
3253
 
3.4%
4150
 
2.0%
594
 
1.3%
079
 
1.1%
674
 
1.0%
263
 
0.8%
757
 
0.8%
849
 
0.7%
149
 
0.7%
Other values (388)1200
 
16.0%

Length

2022-11-06T21:12:25.229922image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3253
 
3.4%
4150
 
2.0%
594
 
1.3%
079
 
1.1%
674
 
1.0%
263
 
0.8%
757
 
0.8%
849
 
0.7%
149
 
0.7%
Other values (388)1200
 
16.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_AEASP
Categorical

HIGH CARDINALITY

Distinct365
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
0
900 
1
 
116
2
 
76
3
 
68
Other values (360)
908 

Length

Max length6
Median length1
Mean length1.164666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique228 ?
Unique (%)3.0%

Sample

1st row818201
2nd row648
3rd row247
4th row571
5th row514

Common Values

ValueCountFrequency (%)
*5432
72.4%
0900
 
12.0%
1116
 
1.5%
276
 
1.0%
368
 
0.9%
443
 
0.6%
N/D31
 
0.4%
529
 
0.4%
629
 
0.4%
727
 
0.4%
Other values (355)749
 
10.0%

Length

2022-11-06T21:12:25.408919image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0900
 
12.0%
1116
 
1.5%
276
 
1.0%
368
 
0.9%
443
 
0.6%
n/d31
 
0.4%
529
 
0.4%
629
 
0.4%
727
 
0.4%
Other values (355)749
 
10.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_AGUAFV
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct95
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1100 
1
 
270
2
 
152
3
 
100
Other values (90)
 
446

Length

Max length5
Median length1
Mean length1.040933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)0.7%

Sample

1st row12370
2nd row751
3rd row237
4th row8
5th row4

Common Values

ValueCountFrequency (%)
*5432
72.4%
01100
 
14.7%
1270
 
3.6%
2152
 
2.0%
3100
 
1.3%
459
 
0.8%
542
 
0.6%
N/D31
 
0.4%
631
 
0.4%
730
 
0.4%
Other values (85)253
 
3.4%

Length

2022-11-06T21:12:25.669915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01100
 
14.7%
1270
 
3.6%
2152
 
2.0%
3100
 
1.3%
459
 
0.8%
542
 
0.6%
n/d31
 
0.4%
631
 
0.4%
730
 
0.4%
Other values (85)253
 
3.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_TINACO
Categorical

HIGH CARDINALITY

Distinct265
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size426.0 KiB
*
5432 
0
 
351
1
 
205
3
 
205
2
 
154
Other values (260)
1153 

Length

Max length6
Median length1
Mean length1.145866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)2.0%

Sample

1st row384640
2nd row2551
3rd row697
4th row742
5th row496

Common Values

ValueCountFrequency (%)
*5432
72.4%
0351
 
4.7%
1205
 
2.7%
3205
 
2.7%
2154
 
2.1%
593
 
1.2%
490
 
1.2%
657
 
0.8%
742
 
0.6%
942
 
0.6%
Other values (255)829
 
11.1%

Length

2022-11-06T21:12:25.862915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0351
 
4.7%
1205
 
2.7%
3205
 
2.7%
2154
 
2.1%
593
 
1.2%
490
 
1.2%
657
 
0.8%
742
 
0.6%
942
 
0.6%
Other values (255)829
 
11.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_CISTER
Categorical

HIGH CARDINALITY

Distinct127
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1119 
1
 
276
2
 
130
3
 
77
Other values (122)
 
466

Length

Max length5
Median length1
Mean length1.0508
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)1.1%

Sample

1st row53188
2nd row560
3rd row168
4th row21
5th row19

Common Values

ValueCountFrequency (%)
*5432
72.4%
01119
 
14.9%
1276
 
3.7%
2130
 
1.7%
377
 
1.0%
455
 
0.7%
542
 
0.6%
636
 
0.5%
N/D31
 
0.4%
724
 
0.3%
Other values (117)278
 
3.7%

Length

2022-11-06T21:12:26.047914image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01119
 
14.9%
1276
 
3.7%
2130
 
1.7%
377
 
1.0%
455
 
0.7%
542
 
0.6%
636
 
0.5%
n/d31
 
0.4%
724
 
0.3%
Other values (117)278
 
3.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_EXCSA
Categorical

HIGH CARDINALITY

Distinct349
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size426.3 KiB
*
5432 
3
 
238
0
 
172
4
 
151
1
 
122
Other values (344)
1385 

Length

Max length6
Median length1
Mean length1.19
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique216 ?
Unique (%)2.9%

Sample

1st row818957
2nd row3375
3rd row1099
4th row782
5th row524

Common Values

ValueCountFrequency (%)
*5432
72.4%
3238
 
3.2%
0172
 
2.3%
4151
 
2.0%
1122
 
1.6%
2111
 
1.5%
596
 
1.3%
670
 
0.9%
761
 
0.8%
851
 
0.7%
Other values (339)996
 
13.3%

Length

2022-11-06T21:12:26.222918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3238
 
3.2%
0172
 
2.3%
4151
 
2.0%
1122
 
1.6%
2111
 
1.5%
596
 
1.3%
670
 
0.9%
761
 
0.8%
851
 
0.7%
Other values (339)996
 
13.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_LETR
Categorical

HIGH CARDINALITY

Distinct198
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
690 
1
 
222
2
 
142
3
 
109
Other values (193)
905 

Length

Max length5
Median length1
Mean length1.111066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)1.2%

Sample

1st row45788
2nd row700
3rd row296
4th row0
5th row0

Common Values

ValueCountFrequency (%)
*5432
72.4%
0690
 
9.2%
1222
 
3.0%
2142
 
1.9%
3109
 
1.5%
478
 
1.0%
651
 
0.7%
545
 
0.6%
732
 
0.4%
N/D31
 
0.4%
Other values (188)668
 
8.9%

Length

2022-11-06T21:12:26.394918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0690
 
9.2%
1222
 
3.0%
2142
 
1.9%
3109
 
1.5%
478
 
1.0%
651
 
0.7%
545
 
0.6%
732
 
0.4%
n/d31
 
0.4%
Other values (188)668
 
8.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_DRENAJ
Categorical

HIGH CARDINALITY

Distinct360
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size426.4 KiB
*
5432 
3
 
265
0
 
152
4
 
150
5
 
100
Other values (355)
1401 

Length

Max length6
Median length1
Mean length1.2012
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)2.8%

Sample

1st row832304
2nd row3614
3rd row1207
4th row781
5th row524

Common Values

ValueCountFrequency (%)
*5432
72.4%
3265
 
3.5%
0152
 
2.0%
4150
 
2.0%
5100
 
1.3%
286
 
1.1%
180
 
1.1%
672
 
1.0%
753
 
0.7%
851
 
0.7%
Other values (350)1059
 
14.1%

Length

2022-11-06T21:12:26.568918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3265
 
3.5%
0152
 
2.0%
4150
 
2.0%
5100
 
1.3%
286
 
1.1%
180
 
1.1%
672
 
1.0%
753
 
0.7%
851
 
0.7%
Other values (350)1059
 
14.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_NODREN
Categorical

HIGH CARDINALITY

Distinct194
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
682 
1
 
219
2
 
147
3
 
134
Other values (189)
886 

Length

Max length5
Median length1
Mean length1.1
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)1.3%

Sample

1st row40872
2nd row834
3rd row350
4th row9
5th row4

Common Values

ValueCountFrequency (%)
*5432
72.4%
0682
 
9.1%
1219
 
2.9%
2147
 
2.0%
3134
 
1.8%
4108
 
1.4%
555
 
0.7%
643
 
0.6%
840
 
0.5%
N/D31
 
0.4%
Other values (184)609
 
8.1%

Length

2022-11-06T21:12:26.753915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0682
 
9.1%
1219
 
2.9%
2147
 
2.0%
3134
 
1.8%
4108
 
1.4%
555
 
0.7%
643
 
0.6%
840
 
0.5%
931
 
0.4%
Other values (184)609
 
8.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_C_SERV
Categorical

HIGH CARDINALITY

Distinct363
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size426.4 KiB
*
5432 
3
 
244
0
 
205
4
 
137
1
 
107
Other values (358)
1375 

Length

Max length6
Median length1
Mean length1.197333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique222 ?
Unique (%)3.0%

Sample

1st row821949
2nd row2954
3rd row1052
4th row774
5th row519

Common Values

ValueCountFrequency (%)
*5432
72.4%
3244
 
3.3%
0205
 
2.7%
4137
 
1.8%
1107
 
1.4%
2103
 
1.4%
581
 
1.1%
663
 
0.8%
752
 
0.7%
849
 
0.7%
Other values (353)1027
 
13.7%

Length

2022-11-06T21:12:26.981919image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3244
 
3.3%
0205
 
2.7%
4137
 
1.8%
1107
 
1.4%
2103
 
1.4%
581
 
1.1%
663
 
0.8%
752
 
0.7%
849
 
0.7%
Other values (353)1027
 
13.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_NDEAED
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct53
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size425.1 KiB
*
5432 
0
1534 
1
 
216
2
 
74
3
 
55
Other values (48)
 
189

Length

Max length4
Median length1
Mean length1.018933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)0.4%

Sample

1st row1924
2nd row240
3rd row91
4th row3
5th row2

Common Values

ValueCountFrequency (%)
*5432
72.4%
01534
 
20.5%
1216
 
2.9%
274
 
1.0%
355
 
0.7%
436
 
0.5%
N/D31
 
0.4%
517
 
0.2%
612
 
0.2%
910
 
0.1%
Other values (43)83
 
1.1%

Length

2022-11-06T21:12:27.180915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01534
 
20.5%
1216
 
2.9%
274
 
1.0%
355
 
0.7%
436
 
0.5%
n/d31
 
0.4%
517
 
0.2%
612
 
0.2%
910
 
0.1%
Other values (43)83
 
1.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_DSADMA
Categorical

HIGH CARDINALITY

Distinct350
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size426.3 KiB
*
5432 
3
 
239
0
 
208
4
 
140
2
 
121
Other values (345)
1360 

Length

Max length6
Median length1
Mean length1.187333333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)2.8%

Sample

1st row816823
2nd row3285
3rd row1077
4th row781
5th row524

Common Values

ValueCountFrequency (%)
*5432
72.4%
3239
 
3.2%
0208
 
2.8%
4140
 
1.9%
2121
 
1.6%
1108
 
1.4%
595
 
1.3%
668
 
0.9%
760
 
0.8%
847
 
0.6%
Other values (340)982
 
13.1%

Length

2022-11-06T21:12:27.344914image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3239
 
3.2%
0208
 
2.8%
4140
 
1.9%
2121
 
1.6%
1108
 
1.4%
595
 
1.3%
668
 
0.9%
760
 
0.8%
847
 
0.6%
Other values (340)982
 
13.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_NDACMM
Categorical

HIGH CARDINALITY

Distinct283
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size426.1 KiB
*
5432 
1
 
260
2
 
214
0
 
197
3
 
122
Other values (278)
1275 

Length

Max length6
Median length1
Mean length1.164533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique155 ?
Unique (%)2.1%

Sample

1st row287000
2nd row1386
3rd row521
4th row279
5th row204

Common Values

ValueCountFrequency (%)
*5432
72.4%
1260
 
3.5%
2214
 
2.9%
0197
 
2.6%
3122
 
1.6%
491
 
1.2%
585
 
1.1%
660
 
0.8%
749
 
0.7%
943
 
0.6%
Other values (273)947
 
12.6%

Length

2022-11-06T21:12:27.597916image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
1260
 
3.5%
2214
 
2.9%
0197
 
2.6%
3122
 
1.6%
491
 
1.2%
585
 
1.1%
660
 
0.8%
749
 
0.7%
943
 
0.6%
Other values (273)947
 
12.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_SNBIEN
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct80
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size425.2 KiB
*
5432 
0
1187 
1
 
291
2
 
152
3
 
89
Other values (75)
 
349

Length

Max length4
Median length1
Mean length1.0324
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)0.6%

Sample

1st row7083
2nd row153
3rd row70
4th row9
5th row5

Common Values

ValueCountFrequency (%)
*5432
72.4%
01187
 
15.8%
1291
 
3.9%
2152
 
2.0%
389
 
1.2%
457
 
0.8%
535
 
0.5%
N/D31
 
0.4%
626
 
0.3%
721
 
0.3%
Other values (70)179
 
2.4%

Length

2022-11-06T21:12:27.774918image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01187
 
15.8%
1291
 
3.9%
2152
 
2.0%
389
 
1.2%
457
 
0.8%
535
 
0.5%
n/d31
 
0.4%
626
 
0.3%
721
 
0.3%
Other values (70)179
 
2.4%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_REFRI
Categorical

HIGH CARDINALITY

Distinct390
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
3
 
253
4
 
147
5
 
105
2
 
105
Other values (385)
1458 

Length

Max length6
Median length1
Mean length1.218533333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique229 ?
Unique (%)3.1%

Sample

1st row823651
2nd row3159
3rd row1147
4th row759
5th row508

Common Values

ValueCountFrequency (%)
*5432
72.4%
3253
 
3.4%
4147
 
2.0%
5105
 
1.4%
2105
 
1.4%
086
 
1.1%
680
 
1.1%
754
 
0.7%
851
 
0.7%
145
 
0.6%
Other values (380)1142
 
15.2%

Length

2022-11-06T21:12:27.964915image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3253
 
3.4%
4147
 
2.0%
5105
 
1.4%
2105
 
1.4%
086
 
1.1%
680
 
1.1%
754
 
0.7%
851
 
0.7%
145
 
0.6%
Other values (380)1142
 
15.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_LAVAD
Categorical

HIGH CARDINALITY

Distinct337
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size426.3 KiB
*
5432 
2
 
201
1
 
196
0
 
188
3
 
186
Other values (332)
1297 

Length

Max length6
Median length1
Mean length1.1804
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique211 ?
Unique (%)2.8%

Sample

1st row665548
2nd row1856
3rd row743
4th row639
5th row421

Common Values

ValueCountFrequency (%)
*5432
72.4%
2201
 
2.7%
1196
 
2.6%
0188
 
2.5%
3186
 
2.5%
4131
 
1.7%
658
 
0.8%
558
 
0.8%
750
 
0.7%
841
 
0.5%
Other values (327)959
 
12.8%

Length

2022-11-06T21:12:28.156921image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
2201
 
2.7%
1196
 
2.6%
0188
 
2.5%
3186
 
2.5%
4131
 
1.7%
658
 
0.8%
558
 
0.8%
750
 
0.7%
841
 
0.5%
Other values (327)959
 
12.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_HMICRO
Categorical

HIGH CARDINALITY

Distinct291
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size426.0 KiB
*
5432 
0
 
352
1
 
278
2
 
200
3
 
171
Other values (286)
1067 

Length

Max length6
Median length1
Mean length1.145066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)2.4%

Sample

1st row506681
2nd row1329
3rd row488
4th row489
5th row331

Common Values

ValueCountFrequency (%)
*5432
72.4%
0352
 
4.7%
1278
 
3.7%
2200
 
2.7%
3171
 
2.3%
498
 
1.3%
659
 
0.8%
553
 
0.7%
847
 
0.6%
737
 
0.5%
Other values (281)773
 
10.3%

Length

2022-11-06T21:12:28.405914image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0352
 
4.7%
1278
 
3.7%
2200
 
2.7%
3171
 
2.3%
498
 
1.3%
659
 
0.8%
553
 
0.7%
847
 
0.6%
737
 
0.5%
Other values (281)773
 
10.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_AUTOM
Categorical

HIGH CARDINALITY

Distinct308
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
3
 
235
2
 
211
1
 
159
4
 
145
Other values (303)
1318 

Length

Max length6
Median length1
Mean length1.177866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)2.4%

Sample

1st row563154
2nd row2791
3rd row936
4th row506
5th row320

Common Values

ValueCountFrequency (%)
*5432
72.4%
3235
 
3.1%
2211
 
2.8%
1159
 
2.1%
4145
 
1.9%
099
 
1.3%
579
 
1.1%
663
 
0.8%
848
 
0.6%
745
 
0.6%
Other values (298)984
 
13.1%

Length

2022-11-06T21:12:28.576955image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3235
 
3.1%
2211
 
2.8%
1159
 
2.1%
4145
 
1.9%
099
 
1.3%
579
 
1.1%
663
 
0.8%
848
 
0.6%
745
 
0.6%
Other values (298)984
 
13.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_MOTO
Categorical

HIGH CARDINALITY

Distinct176
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
571 
1
 
324
2
 
173
3
 
97
Other values (171)
903 

Length

Max length5
Median length1
Mean length1.106666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)1.2%

Sample

1st row69204
2nd row830
3rd row263
4th row40
5th row25

Common Values

ValueCountFrequency (%)
*5432
72.4%
0571
 
7.6%
1324
 
4.3%
2173
 
2.3%
397
 
1.3%
464
 
0.9%
551
 
0.7%
645
 
0.6%
741
 
0.5%
835
 
0.5%
Other values (166)667
 
8.9%

Length

2022-11-06T21:12:28.763539image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0571
 
7.6%
1324
 
4.3%
2173
 
2.3%
397
 
1.3%
464
 
0.9%
551
 
0.7%
645
 
0.6%
741
 
0.5%
835
 
0.5%
Other values (166)667
 
8.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_BICI
Categorical

HIGH CARDINALITY

Distinct231
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size425.8 KiB
*
5432 
0
 
464
1
 
276
2
 
228
3
 
129
Other values (226)
971 

Length

Max length6
Median length1
Mean length1.1244
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)1.6%

Sample

1st row155499
2nd row1017
3rd row363
4th row129
5th row102

Common Values

ValueCountFrequency (%)
*5432
72.4%
0464
 
6.2%
1276
 
3.7%
2228
 
3.0%
3129
 
1.7%
466
 
0.9%
563
 
0.8%
649
 
0.7%
744
 
0.6%
832
 
0.4%
Other values (221)717
 
9.6%

Length

2022-11-06T21:12:29.127055image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0464
 
6.2%
1276
 
3.7%
2228
 
3.0%
3129
 
1.7%
466
 
0.9%
563
 
0.8%
649
 
0.7%
744
 
0.6%
832
 
0.4%
Other values (221)717
 
9.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_RADIO
Categorical

HIGH CARDINALITY

Distinct315
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size426.3 KiB
*
5432 
2
 
202
3
 
199
4
 
143
1
 
140
Other values (310)
1384 

Length

Max length6
Median length1
Mean length1.185866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)2.3%

Sample

1st row579876
2nd row2962
3rd row991
4th row330
5th row244

Common Values

ValueCountFrequency (%)
*5432
72.4%
2202
 
2.7%
3199
 
2.7%
4143
 
1.9%
1140
 
1.9%
090
 
1.2%
590
 
1.2%
672
 
1.0%
761
 
0.8%
842
 
0.6%
Other values (305)1029
 
13.7%

Length

2022-11-06T21:12:29.284057image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
2202
 
2.7%
3199
 
2.7%
4143
 
1.9%
1140
 
1.9%
590
 
1.2%
090
 
1.2%
672
 
1.0%
761
 
0.8%
842
 
0.6%
Other values (305)1029
 
13.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_TV
Categorical

HIGH CARDINALITY

Distinct396
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
3
 
249
4
 
158
2
 
110
5
 
96
Other values (391)
1455 

Length

Max length6
Median length1
Mean length1.221066667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)3.2%

Sample

1st row813780
2nd row3061
3rd row1133
4th row747
5th row502

Common Values

ValueCountFrequency (%)
*5432
72.4%
3249
 
3.3%
4158
 
2.1%
2110
 
1.5%
596
 
1.3%
692
 
1.2%
059
 
0.8%
856
 
0.7%
150
 
0.7%
749
 
0.7%
Other values (386)1149
 
15.3%

Length

2022-11-06T21:12:29.439054image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3249
 
3.3%
4158
 
2.1%
2110
 
1.5%
596
 
1.3%
692
 
1.2%
059
 
0.8%
856
 
0.7%
150
 
0.7%
749
 
0.7%
Other values (386)1149
 
15.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_PC
Categorical

HIGH CARDINALITY

Distinct208
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size425.6 KiB
*
5432 
0
736 
1
 
328
2
 
188
3
 
98
Other values (203)
718 

Length

Max length6
Median length1
Mean length1.0952
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)1.7%

Sample

1st row380911
2nd row437
3rd row184
4th row204
5th row155

Common Values

ValueCountFrequency (%)
*5432
72.4%
0736
 
9.8%
1328
 
4.4%
2188
 
2.5%
398
 
1.3%
464
 
0.9%
550
 
0.7%
634
 
0.5%
N/D31
 
0.4%
827
 
0.4%
Other values (198)512
 
6.8%

Length

2022-11-06T21:12:29.603057image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0736
 
9.8%
1328
 
4.4%
2188
 
2.5%
398
 
1.3%
464
 
0.9%
550
 
0.7%
634
 
0.5%
n/d31
 
0.4%
827
 
0.4%
Other values (198)512
 
6.8%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_TELEF
Categorical

HIGH CARDINALITY

Distinct181
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size425.4 KiB
*
5432 
0
1187 
1
 
292
2
 
111
3
 
57
Other values (176)
 
421

Length

Max length6
Median length1
Mean length1.065733333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)1.7%

Sample

1st row244972
2nd row212
3rd row77
4th row219
5th row189

Common Values

ValueCountFrequency (%)
*5432
72.4%
01187
 
15.8%
1292
 
3.9%
2111
 
1.5%
357
 
0.8%
439
 
0.5%
N/D31
 
0.4%
527
 
0.4%
716
 
0.2%
815
 
0.2%
Other values (171)293
 
3.9%

Length

2022-11-06T21:12:29.776071image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01187
 
15.8%
1292
 
3.9%
2111
 
1.5%
357
 
0.8%
439
 
0.5%
n/d31
 
0.4%
527
 
0.4%
716
 
0.2%
815
 
0.2%
Other values (171)293
 
3.9%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_CEL
Categorical

HIGH CARDINALITY

Distinct383
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
3
 
276
4
 
144
5
 
120
2
 
99
Other values (378)
1429 

Length

Max length6
Median length1
Mean length1.2204
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique219 ?
Unique (%)2.9%

Sample

1st row811378
2nd row3776
3rd row1322
4th row704
5th row473

Common Values

ValueCountFrequency (%)
*5432
72.4%
3276
 
3.7%
4144
 
1.9%
5120
 
1.6%
299
 
1.3%
688
 
1.2%
758
 
0.8%
854
 
0.7%
937
 
0.5%
1133
 
0.4%
Other values (373)1159
 
15.5%

Length

2022-11-06T21:12:29.949056image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3276
 
3.7%
4144
 
1.9%
5120
 
1.6%
299
 
1.3%
688
 
1.2%
758
 
0.8%
854
 
0.7%
937
 
0.5%
1133
 
0.4%
Other values (373)1159
 
15.5%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_INTER
Categorical

HIGH CARDINALITY

Distinct240
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
724 
1
 
297
2
 
168
3
 
97
Other values (235)
782 

Length

Max length6
Median length1
Mean length1.1104
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)2.0%

Sample

1st row530511
2nd row686
3rd row268
4th row254
5th row193

Common Values

ValueCountFrequency (%)
*5432
72.4%
0724
 
9.7%
1297
 
4.0%
2168
 
2.2%
397
 
1.3%
456
 
0.7%
551
 
0.7%
644
 
0.6%
N/D31
 
0.4%
730
 
0.4%
Other values (230)570
 
7.6%

Length

2022-11-06T21:12:30.121081image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0724
 
9.7%
1297
 
4.0%
2168
 
2.2%
397
 
1.3%
456
 
0.7%
551
 
0.7%
644
 
0.6%
n/d31
 
0.4%
730
 
0.4%
Other values (230)570
 
7.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_STVP
Categorical

HIGH CARDINALITY

Distinct317
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size426.2 KiB
*
5432 
0
 
254
2
 
188
3
 
178
1
 
170
Other values (312)
1278 

Length

Max length6
Median length1
Mean length1.1684
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique198 ?
Unique (%)2.6%

Sample

1st row501521
2nd row1563
3rd row639
4th row613
5th row394

Common Values

ValueCountFrequency (%)
*5432
72.4%
0254
 
3.4%
2188
 
2.5%
3178
 
2.4%
1170
 
2.3%
4126
 
1.7%
573
 
1.0%
667
 
0.9%
752
 
0.7%
844
 
0.6%
Other values (307)916
 
12.2%

Length

2022-11-06T21:12:30.290053image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0254
 
3.4%
2188
 
2.5%
3178
 
2.4%
1170
 
2.3%
4126
 
1.7%
573
 
1.0%
667
 
0.9%
752
 
0.7%
844
 
0.6%
Other values (307)916
 
12.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_SPMVPI
Categorical

HIGH CARDINALITY

Distinct139
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1357 
1
 
208
2
 
89
3
 
50
Other values (134)
 
364

Length

Max length6
Median length1
Mean length1.052666667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)1.3%

Sample

1st row210780
2nd row139
3rd row44
4th row53
5th row42

Common Values

ValueCountFrequency (%)
*5432
72.4%
01357
 
18.1%
1208
 
2.8%
289
 
1.2%
350
 
0.7%
433
 
0.4%
N/D31
 
0.4%
523
 
0.3%
619
 
0.3%
717
 
0.2%
Other values (129)241
 
3.2%

Length

2022-11-06T21:12:30.447058image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01357
 
18.1%
1208
 
2.8%
289
 
1.2%
350
 
0.7%
433
 
0.4%
n/d31
 
0.4%
523
 
0.3%
619
 
0.3%
717
 
0.2%
Other values (129)241
 
3.2%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_CVJ
Categorical

HIGH CARDINALITY

Distinct124
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
1303 
1
 
259
2
 
97
3
 
49
Other values (119)
 
360

Length

Max length6
Median length1
Mean length1.049866667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)1.1%

Sample

1st row126299
2nd row92
3rd row30
4th row43
5th row34

Common Values

ValueCountFrequency (%)
*5432
72.4%
01303
 
17.4%
1259
 
3.5%
297
 
1.3%
349
 
0.7%
445
 
0.6%
N/D31
 
0.4%
523
 
0.3%
620
 
0.3%
819
 
0.3%
Other values (114)222
 
3.0%

Length

2022-11-06T21:12:30.613053image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
01303
 
17.4%
1259
 
3.5%
297
 
1.3%
349
 
0.7%
445
 
0.6%
n/d31
 
0.4%
523
 
0.3%
620
 
0.3%
819
 
0.3%
Other values (114)222
 
3.0%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_SINRTV
Categorical

HIGH CARDINALITY

Distinct134
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size425.5 KiB
*
5432 
0
689 
1
 
283
2
 
180
3
 
140
Other values (129)
776 

Length

Max length5
Median length1
Mean length1.071466667
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)1.0%

Sample

1st row32807
2nd row629
3rd row217
4th row35
5th row19

Common Values

ValueCountFrequency (%)
*5432
72.4%
0689
 
9.2%
1283
 
3.8%
2180
 
2.4%
3140
 
1.9%
487
 
1.2%
577
 
1.0%
663
 
0.8%
754
 
0.7%
938
 
0.5%
Other values (124)457
 
6.1%

Length

2022-11-06T21:12:30.796058image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0689
 
9.2%
1283
 
3.8%
2180
 
2.4%
3140
 
1.9%
487
 
1.2%
577
 
1.0%
663
 
0.8%
754
 
0.7%
938
 
0.5%
Other values (124)457
 
6.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_SINLTC
Categorical

HIGH CARDINALITY

Distinct174
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size425.7 KiB
*
5432 
0
591 
1
 
275
2
 
152
3
 
108
Other values (169)
942 

Length

Max length5
Median length1
Mean length1.100933333
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)1.3%

Sample

1st row48777
2nd row627
3rd row222
4th row61
5th row32

Common Values

ValueCountFrequency (%)
*5432
72.4%
0591
 
7.9%
1275
 
3.7%
2152
 
2.0%
3108
 
1.4%
488
 
1.2%
565
 
0.9%
754
 
0.7%
642
 
0.6%
840
 
0.5%
Other values (164)653
 
8.7%

Length

2022-11-06T21:12:30.991055image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0591
 
7.9%
1275
 
3.7%
2152
 
2.0%
3108
 
1.4%
488
 
1.2%
565
 
0.9%
754
 
0.7%
642
 
0.6%
840
 
0.5%
Other values (164)653
 
8.7%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_SINCINT
Categorical

HIGH CARDINALITY

Distinct348
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size426.5 KiB
*
5432 
3
 
243
4
 
141
2
 
136
5
 
95
Other values (343)
1453 

Length

Max length6
Median length1
Mean length1.21
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)2.5%

Sample

1st row302080
2nd row3598
3rd row1206
4th row468
5th row290

Common Values

ValueCountFrequency (%)
*5432
72.4%
3243
 
3.2%
4141
 
1.9%
2136
 
1.8%
595
 
1.3%
683
 
1.1%
166
 
0.9%
761
 
0.8%
049
 
0.7%
845
 
0.6%
Other values (338)1149
 
15.3%

Length

2022-11-06T21:12:31.176069image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
3243
 
3.2%
4141
 
1.9%
2136
 
1.8%
595
 
1.3%
683
 
1.1%
166
 
0.9%
761
 
0.8%
049
 
0.7%
845
 
0.6%
Other values (338)1149
 
15.3%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

VPH_SINTIC
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct98
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size425.3 KiB
*
5432 
0
979 
1
 
287
2
 
161
3
 
120
Other values (93)
 
521

Length

Max length5
Median length1
Mean length1.044
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)0.7%

Sample

1st row11895
2nd row261
3rd row100
4th row18
5th row10

Common Values

ValueCountFrequency (%)
*5432
72.4%
0979
 
13.1%
1287
 
3.8%
2161
 
2.1%
3120
 
1.6%
487
 
1.2%
568
 
0.9%
737
 
0.5%
N/D31
 
0.4%
630
 
0.4%
Other values (88)268
 
3.6%

Length

2022-11-06T21:12:31.345057image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5432
72.4%
0979
 
13.1%
1287
 
3.8%
2161
 
2.1%
3120
 
1.6%
487
 
1.2%
568
 
0.9%
737
 
0.5%
n/d31
 
0.4%
630
 
0.4%
Other values (88)268
 
3.6%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

TAMLOC
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size424.9 KiB
1
6857 
*
 
200
2
 
178
3
 
123
4
 
80
Other values (8)
 
62

Length

Max length2
Median length1
Mean length1.0012
Min length1

Characters and Unicode

Total characters0
Distinct characters0
Distinct categories0 ?
Distinct scripts0 ?
Distinct blocks0 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row*
2nd row*
3rd row*
4th row*
5th row4

Common Values

ValueCountFrequency (%)
16857
91.4%
*200
 
2.7%
2178
 
2.4%
3123
 
1.6%
480
 
1.1%
524
 
0.3%
617
 
0.2%
96
 
0.1%
76
 
0.1%
103
 
< 0.1%
Other values (3)6
 
0.1%

Length

2022-11-06T21:12:31.515054image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
16857
91.4%
200
 
2.7%
2178
 
2.4%
3123
 
1.6%
480
 
1.1%
524
 
0.3%
617
 
0.2%
76
 
0.1%
96
 
0.1%
113
 
< 0.1%
Other values (3)6
 
0.1%

Most occurring characters

ValueCountFrequency (%)
No values found.

Most occurring categories

ValueCountFrequency (%)
No values found.

Most frequent character per category

Most occurring scripts

ValueCountFrequency (%)
No values found.

Most frequent character per script

Most occurring blocks

ValueCountFrequency (%)
No values found.

Most frequent character per block

Interactions

2022-11-06T21:11:14.600948image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:08.532186image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:10.007186image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:11.150226image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:12.233974image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:13.411948image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:14.818961image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:08.816183image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:10.200186image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:11.338184image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:12.451954image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:13.646950image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:14.998979image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:09.016210image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:10.419183image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:11.539181image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:12.654948image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:13.835982image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:15.184947image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:09.246200image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:10.607182image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:11.700181image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:12.820951image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:14.017946image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:15.368947image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:09.627183image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:10.790183image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:11.865185image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:13.017976image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:14.212005image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:15.714962image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:09.827181image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:10.986182image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:12.052289image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:13.217951image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
2022-11-06T21:11:14.397949image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Correlations

2022-11-06T21:12:31.667068image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-11-06T21:12:31.934056image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-11-06T21:12:32.329059image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-11-06T21:12:32.868055image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.
2022-11-06T21:12:33.493085image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-11-06T21:11:18.688987image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2022-11-06T21:11:24.802984image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2022-11-06T21:11:26.532988image/svg+xmlMatplotlib v3.3.4, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

AñoENTIDADNOM_ENTMUNNOM_MUNLOCNOM_LOCLONGITUDLATITUDALTITUDPOBTOTPOBFEMPOBMASP_0A2P_0A2_FP_0A2_MP_3YMASP_3YMAS_FP_3YMAS_MP_5YMASP_5YMAS_FP_5YMAS_MP_12YMASP_12YMAS_FP_12YMAS_MP_15YMASP_15YMAS_FP_15YMAS_MP_18YMASP_18YMAS_FP_18YMAS_MP_3A5P_3A5_FP_3A5_MP_6A11P_6A11_FP_6A11_MP_8A14P_8A14_FP_8A14_MP_12A14P_12A14_FP_12A14_MP_15A17P_15A17_FP_15A17_MP_18A24P_18A24_FP_18A24_MP_15A49_FP_60YMASP_60YMAS_FP_60YMAS_MREL_H_MPOB0_14POB15_64POB65_MASP_0A4P_0A4_FP_0A4_MP_5A9P_5A9_FP_5A9_MP_10A14P_10A14_FP_10A14_MP_15A19P_15A19_FP_15A19_MP_20A24P_20A24_FP_20A24_MP_25A29P_25A29_FP_25A29_MP_30A34P_30A34_FP_30A34_MP_35A39P_35A39_FP_35A39_MP_40A44P_40A44_FP_40A44_MP_45A49P_45A49_FP_45A49_MP_50A54P_50A54_FP_50A54_MP_55A59P_55A59_FP_55A59_MP_60A64P_60A64_FP_60A64_MP_65A69P_65A69_FP_65A69_MP_70A74P_70A74_FP_70A74_MP_75A79P_75A79_FP_75A79_MP_80A84P_80A84_FP_80A84_MP_85YMASP_85YMAS_FP_85YMAS_MPROM_HNVPNACENTPNACENT_FPNACENT_MPNACOEPNACOE_FPNACOE_MPRES2015PRES2015_FPRES2015_MPRESOE15PRESOE15_FPRESOE15_MP3YM_HLIP3YM_HLI_FP3YM_HLI_MP3HLINHEP3HLINHE_FP3HLINHE_MP3HLI_HEP3HLI_HE_FP3HLI_HE_MP5_HLIP5_HLI_NHEP5_HLI_HEPHOG_INDPOB_AFROPOB_AFRO_FPOB_AFRO_MPCON_DISCPCDISC_MOTPCDISC_VISPCDISC_LENGPCDISC_AUDPCDISC_MOT2PCDISC_MENPCON_LIMIPCLIM_CSBPCLIM_VISPCLIM_HACOPCLIM_OAUDPCLIM_MOT2PCLIM_RE_COPCLIM_PMENPSIND_LIMP3A5_NOAP3A5_NOA_FP3A5_NOA_MP6A11_NOAP6A11_NOAFP6A11_NOAMP12A14NOAP12A14NOAFP12A14NOAMP15A17AP15A17A_FP15A17A_MP18A24AP18A24A_FP18A24A_MP8A14ANP8A14AN_FP8A14AN_MP15YM_ANP15YM_AN_FP15YM_AN_MP15YM_SEP15YM_SE_FP15YM_SE_MP15PRI_INP15PRI_INFP15PRI_INMP15PRI_COP15PRI_COFP15PRI_COMP15SEC_INP15SEC_INFP15SEC_INMP15SEC_COP15SEC_COFP15SEC_COMP18YM_PBP18YM_PB_FP18YM_PB_MGRAPROESGRAPROES_FGRAPROES_MPEAPEA_FPEA_MPE_INACPE_INAC_FPE_INAC_MPOCUPADAPOCUPADA_FPOCUPADA_MPDESOCUPPDESOCUP_FPDESOCUP_MPSINDERPDER_SSPDER_IMSSPDER_ISTEPDER_ISTEEPAFIL_PDOMPDER_SEGPPDER_IMSSBPAFIL_IPRIVPAFIL_OTRAIP12YM_SOLTP12YM_CASAP12YM_SEPAPCATOLICAPRO_CRIEVAPOTRAS_RELPSIN_RELIGTOTHOGHOGJEF_FHOGJEF_MPOBHOGPHOGJEF_FPHOGJEF_MVIVTOTTVIVHABTVIVPARVIVPAR_HABVIVPARH_CVTVIVPARHABVIVPAR_DESVIVPAR_UTOCUPVIVPARPROM_OCUPPRO_OCUP_CVPH_PISODTVPH_PISOTIVPH_1DORVPH_2YMASDVPH_1CUARTVPH_2CUARTVPH_3YMASCVPH_C_ELECVPH_S_ELECVPH_AGUADVVPH_AEASPVPH_AGUAFVVPH_TINACOVPH_CISTERVPH_EXCSAVPH_LETRVPH_DRENAJVPH_NODRENVPH_C_SERVVPH_NDEAEDVPH_DSADMAVPH_NDACMMVPH_SNBIENVPH_REFRIVPH_LAVADVPH_HMICROVPH_AUTOMVPH_MOTOVPH_BICIVPH_RADIOVPH_TVVPH_PCVPH_TELEFVPH_CELVPH_INTERVPH_STVPVPH_SPMVPIVPH_CVJVPH_SINRTVVPH_SINLTCVPH_SINCINTVPH_SINTICTAMLOC
0202026Sonora0Total de la entidad Sonora0Total de la EntidadNaNNaNNaN294484014726431472197124294612396305528178211410043140777827237701363541136022923748181191883118293522182681115432110283620659411040798102514314313270693724392998711474671524043585961756591829371565507645180099152327746347769335039217174417864876905735840418813517026999.9772384719814672368012183451077411106042467111215091252022587911266001321912557161249611307552470031214171255862278961137441141522150041075491074552070001031611038392038951023181015771921819590796274170705865838412214046471657688071216036276258841877084535042358618823249629386415192184219677261441430511839195481138081682.07245939812373071222091425906207534218372262907113226291306442753023395341349628082817034638110460549961130273073382362070100560499126644435102123322277145473688916406120976264642902126592317996920262056711851757018144515960940272245812665700323213337911013515558581014542915854117628597935783512776965270624998184331248724413421334228005575326531292221458106968476126214349107284107065778223333544487581531296908284623105165953241951924010.410.4510.351448628582665865963911820607163304657141886957401084485929759865521104547727239147915794661540841297181438046517010138813091896182504212379793100842252402329449156935386387633330022857610529246419551841969457107910487682610385138362358743418763331407616151729246413.340.8885194421326261175612181392001151687189798649108484860988818201123703846405318881895745788832304408728219491924816823287000708382365166554850668156315469204155499579876813780380911244972811378530511501521210780126299328074877730208011895*
1202026Sonora0Total de la entidad Sonora9998Localidades de una viviendaNaNNaNNaN16883531711566476234242162414998112431591348601105314873432910544143684107102611388838979991460195265908474434111854757150522228348021027023296831646260027218661855217.53234912513185580437243272136735482438643811403937471669500116915643691195142933210971333337996128933795212063328741107342765910299611866269597658203455487148339367113254225861391184771*104244025639943751147322811287425770302767588217919064051501125718733971476190312187078620640166714323316102152105110203371012421264768138421213794258117141713239762551300151149223881356131307992235761008233775253166418672747823192416862381448354011802360261785917587.257.7777511187356385139244526947454186055945713445653110247574222115242959451484646198662157712572194217197245456133932117411889985272464578683941714500454510411627117412.580.814068381208923604161081295236637873698648751255156033757003614834295424032851386153315918561329279183010172962306143721237766861563139926296273598261*
2202026Sonora0Total de la entidad Sonora9999Localidades de dos viviendasNaNNaNNaN5087215529322011039845721896267644271819260839571583237437581485227335381385215322111510639419819646423522919998101220100120505210295909874339535136.061015316159734618016635117617531815816036516819736014221838213724530812418430611718929312117227010017028111816331911920027711116619078112180641161013368742648522725*361615752041108038369739371697224045811534333710123617314320982223361632045852213126312297325747366262014063015227124463852124665832181429131613262708641452061428592193329114215834253581690277413201731289114025097093233867.17.66.7823285861742137099537523155811734135811463613237083293106230521611672311478373441626061667320134747591025373430781676288414821644166748491847592.850.91139016877478418239897813412171321247237697168109929612073501052911077521701147743488936263363991113318477132226863944302172221206100*
3202026Sonora1Aconchi0Total del MunicipioNaNNaNNaN256312271336994653246411811283238911441245210910161093197495210221838881957116585823910713230314316013564711367165248106142587470223247108.885891624350174839119088102225104121212105107172721001657689154827214776711859194180859516074861296861120615912560657839396224384724233815232.4324811196128544152923461122122425121320200020220242010101718475182841223621102691361196338201222913615734875136553223422532132472027242881543551542018635516352943415413152268.789.388.2210322727601073742331987270717452435322026865138132083114531564712442182379760103790182608256351820451113790111078779079016515825633.240.817873212578329965978197825718742217820781977437812799759639489506401293307472042197042546135343356146818*
4202026Sonora1Aconchi1Aconchi110°13'42.787" W29°49'33.141" N607.01650785865552629159575983615477368111379665714129162766412085836257635411405981185791068838508344391416378379318150168110.1935910512401034954115486714161801196356105446110551549953469146451265967130636710648589250427839398539465427274218243317162610162.351590764826331221151672179519109202000202202418810117505315252615278742159451140251250134930353257362132171532127111624111314950992571141434318253991952043712051668.919.458.46761864907004782226551854702112012915185861081040691142194228011561522500765281284001650353129775352875052552852811810716503.130.7852531483802460444522652451444961952405244519252420455084213313202510224450215518947319339442341932290104
5202026Sonora1Aconchi3La Estancia110°12'40.335" W29°47'43.735" N604.076137338839182172235536770034235859929130856127029151624527135221388424610154473821174525209337561831085355104.022004877461313068353371373480384258243454233148252347252250282244202442192330151534171728151313761349106410462.4774136437711386883353536240000000000000110352312201335528302146191266095431220224131119136101221012198116928418032483313202048711714192498.69.347.92292712213062198727070200221213783832172423095024418536252711230262124516776113762428821228821221221244327613.590.921204816443117720932103822010209020842071208633204179129148132565200432918656177107122413773
6202026Sonora1Aconchi4Maicobabi110°07'43.722" W29°48'24.390" N735.03******************************************************************************************************************************************************************************************************************************11***************************************************1
7202026Sonora1Aconchi6El Rodeo (El Rodeo de Aconchi)110°11'34.231" W29°45'42.847" N592.023914101229132191221912219121991010100000000020200011156155.5621292020000002020001011101010000002113212111013213121011104.4423914000219120000000000000000000432011131300000160000000002020000000001104224132112026428.438.448.421221097212210000122153202012416123000817233201281288813232.880.58008008808108280808080088781028318481100301
8202026Sonora1Aconchi7San Pablo (San Pablo de Aconchi)110°12'00.000" W29°46'24.538" N569.01185563211116546211253591014754924250864046413116517107954624125722301317114.55266725624752136711477344225237529456249634135329548354133121012.8911654620001125359000000000000000011014871213224182224180000000000422422000404303187111275835261016221398.218.867.6648133553341946133320223933733043070355791123013873111822965638563838382161183.110.8338013253728380371713503703713703711136292127121834203313201353511
9202026Sonora1Aconchi35La Loma110°13'53.318" W29°49'59.287" N601.02******************************************************************************************************************************************************************************************************************************11***************************************************1

Last rows

AñoENTIDADNOM_ENTMUNNOM_MUNLOCNOM_LOCLONGITUDLATITUDALTITUDPOBTOTPOBFEMPOBMASP_0A2P_0A2_FP_0A2_MP_3YMASP_3YMAS_FP_3YMAS_MP_5YMASP_5YMAS_FP_5YMAS_MP_12YMASP_12YMAS_FP_12YMAS_MP_15YMASP_15YMAS_FP_15YMAS_MP_18YMASP_18YMAS_FP_18YMAS_MP_3A5P_3A5_FP_3A5_MP_6A11P_6A11_FP_6A11_MP_8A14P_8A14_FP_8A14_MP_12A14P_12A14_FP_12A14_MP_15A17P_15A17_FP_15A17_MP_18A24P_18A24_FP_18A24_MP_15A49_FP_60YMASP_60YMAS_FP_60YMAS_MREL_H_MPOB0_14POB15_64POB65_MASP_0A4P_0A4_FP_0A4_MP_5A9P_5A9_FP_5A9_MP_10A14P_10A14_FP_10A14_MP_15A19P_15A19_FP_15A19_MP_20A24P_20A24_FP_20A24_MP_25A29P_25A29_FP_25A29_MP_30A34P_30A34_FP_30A34_MP_35A39P_35A39_FP_35A39_MP_40A44P_40A44_FP_40A44_MP_45A49P_45A49_FP_45A49_MP_50A54P_50A54_FP_50A54_MP_55A59P_55A59_FP_55A59_MP_60A64P_60A64_FP_60A64_MP_65A69P_65A69_FP_65A69_MP_70A74P_70A74_FP_70A74_MP_75A79P_75A79_FP_75A79_MP_80A84P_80A84_FP_80A84_MP_85YMASP_85YMAS_FP_85YMAS_MPROM_HNVPNACENTPNACENT_FPNACENT_MPNACOEPNACOE_FPNACOE_MPRES2015PRES2015_FPRES2015_MPRESOE15PRESOE15_FPRESOE15_MP3YM_HLIP3YM_HLI_FP3YM_HLI_MP3HLINHEP3HLINHE_FP3HLINHE_MP3HLI_HEP3HLI_HE_FP3HLI_HE_MP5_HLIP5_HLI_NHEP5_HLI_HEPHOG_INDPOB_AFROPOB_AFRO_FPOB_AFRO_MPCON_DISCPCDISC_MOTPCDISC_VISPCDISC_LENGPCDISC_AUDPCDISC_MOT2PCDISC_MENPCON_LIMIPCLIM_CSBPCLIM_VISPCLIM_HACOPCLIM_OAUDPCLIM_MOT2PCLIM_RE_COPCLIM_PMENPSIND_LIMP3A5_NOAP3A5_NOA_FP3A5_NOA_MP6A11_NOAP6A11_NOAFP6A11_NOAMP12A14NOAP12A14NOAFP12A14NOAMP15A17AP15A17A_FP15A17A_MP18A24AP18A24A_FP18A24A_MP8A14ANP8A14AN_FP8A14AN_MP15YM_ANP15YM_AN_FP15YM_AN_MP15YM_SEP15YM_SE_FP15YM_SE_MP15PRI_INP15PRI_INFP15PRI_INMP15PRI_COP15PRI_COFP15PRI_COMP15SEC_INP15SEC_INFP15SEC_INMP15SEC_COP15SEC_COFP15SEC_COMP18YM_PBP18YM_PB_FP18YM_PB_MGRAPROESGRAPROES_FGRAPROES_MPEAPEA_FPEA_MPE_INACPE_INAC_FPE_INAC_MPOCUPADAPOCUPADA_FPOCUPADA_MPDESOCUPPDESOCUP_FPDESOCUP_MPSINDERPDER_SSPDER_IMSSPDER_ISTEPDER_ISTEEPAFIL_PDOMPDER_SEGPPDER_IMSSBPAFIL_IPRIVPAFIL_OTRAIP12YM_SOLTP12YM_CASAP12YM_SEPAPCATOLICAPRO_CRIEVAPOTRAS_RELPSIN_RELIGTOTHOGHOGJEF_FHOGJEF_MPOBHOGPHOGJEF_FPHOGJEF_MVIVTOTTVIVHABTVIVPARVIVPAR_HABVIVPARH_CVTVIVPARHABVIVPAR_DESVIVPAR_UTOCUPVIVPARPROM_OCUPPRO_OCUP_CVPH_PISODTVPH_PISOTIVPH_1DORVPH_2YMASDVPH_1CUARTVPH_2CUARTVPH_3YMASCVPH_C_ELECVPH_S_ELECVPH_AGUADVVPH_AEASPVPH_AGUAFVVPH_TINACOVPH_CISTERVPH_EXCSAVPH_LETRVPH_DRENAJVPH_NODRENVPH_C_SERVVPH_NDEAEDVPH_DSADMAVPH_NDACMMVPH_SNBIENVPH_REFRIVPH_LAVADVPH_HMICROVPH_AUTOMVPH_MOTOVPH_BICIVPH_RADIOVPH_TVVPH_PCVPH_TELEFVPH_CELVPH_INTERVPH_STVPVPH_SPMVPIVPH_CVJVPH_SINRTVVPH_SINLTCVPH_SINCINTVPH_SINTICTAMLOC
7490202026Sonora72San Ignacio Río Muerto329Felizardo Castro López (Bloque 825)110°15'39.574" W27°23'12.957" N7.03******************************************************************************************************************************************************************************************************************************11***************************************************1
7491202026Sonora72San Ignacio Río Muerto333Ninguno [Jesús Rivera Rivera]110°17'14.470" W27°19'03.580" N3.02******************************************************************************************************************************************************************************************************************************11***************************************************1
7492202026Sonora72San Ignacio Río Muerto334Ninguno [Roberto Muñoz Chihuahua]110°15'36.790" W27°21'32.130" N4.02******************************************************************************************************************************************************************************************************************************11***************************************************1
7493202026Sonora72San Ignacio Río Muerto337Jesús, María y José [Ramón Granados Valenzuela]110°13'24.730" W27°20'45.560" N7.02******************************************************************************************************************************************************************************************************************************11***************************************************1
7494202026Sonora72San Ignacio Río Muerto339Ninguno [Familia Gambino]110°15'35.500" W27°16'50.900" N6.05******************************************************************************************************************************************************************************************************************************21***************************************************1
7495202026Sonora72San Ignacio Río Muerto340Ninguno [José Palma]110°11'56.440" W27°20'44.190" N8.02******************************************************************************************************************************************************************************************************************************11***************************************************1
7496202026Sonora72San Ignacio Río Muerto342Cornelio Saucedo110°21'43.366" W27°23'25.691" N7.02******************************************************************************************************************************************************************************************************************************11***************************************************1
7497202026Sonora72San Ignacio Río Muerto343Santa Bárbara110°12'33.900" W27°19'01.253" N6.01******************************************************************************************************************************************************************************************************************************21***************************************************1
7498202026Sonora72San Ignacio Río Muerto9998Localidades de una viviendaNaNNaNNaN296128168844288124164280118162244103141232971352209212814773014163013171266125721101152813051131.256417062161062911181910920812137615691055116518810231211208122171419811187111551014771138404*254110144421824276116160422126611011561211117101211242103339152811218623375232121175243110122814337264520254419257256333303613236.597.126.2147261219777201432611740476220171250410116215428225190521021290296302661211021211021001021182962.90.96919495116236175258391747196038752557659302694729563332527581851129211915865*
7499202026Sonora72San Ignacio Río Muerto9999Localidades de dos viviendasNaNNaNNaN602733211582632562531461729421527401525321972106442220262471349122.2218348422660844413413110523321101202413532523110312303000101*58273120256253100010100010110112111101000925140124921100000010100000030350531215874227437076.746.936.633382512933382500011493000018010162554460102251760154526222622222222602.730.92211101226141841309948111012847921894125611150017240065204*